#data science life cycle phases

[analyticspursuit]

Stages of the Data Science Lifecycle: From Idea to Deployment

In this short video, we'll discuss the stages of the data science lifecycle, from idea to deployment. We'll cover the different stages of a data science project, from data collection to data analysis and finally, the presentation of the results.

If you're new to data science or you're looking for a better understanding of the life cycle of a data science project, then this video is for you!

By the end of this short video, you'll have a clearer understanding of the stages of the data science lifecycle, and you'll be able to move from idea to deployment with ease!

[dcwaterpump]

Cooling Circulation Pump Solution for DNA Sequencing Systems

Overview of the DNA Sequencer Market

With the rapid development of biotechnology, DNA sequencers have become indispensable tools in fields such as life sciences, medical research, and clinical diagnostics. DNA sequencers employ highly accurate and efficient sequencing technologies to provide researchers with powerful data support, driving advancements in gene editing, disease diagnostics, drug development, and other areas. Currently, gene sequencer market is in a phase of rapid growth, with increasing demand and higher requirements for core components. McKinsey Consulting pointed out that from the perspective of the potential of time and therapy itself, disease sequencing applications will be the largest market.

To ensure temperature control during sequencing, micro brushless DC pumps are often used to provide cooling for the chip platform of the sequencer, thereby ensuring the accuracy and stability of the sequencing results. How to use a water pump to achieve stable cooling of the chip platform and high-throughput sequencing is a difficult problem that the entire gene sequencer industry is highly concerned about.

Pain Points of Water Pumps in Gene Sequencers

As a crucial component of gene sequencers, the importance of medical cooling pumps is self-evident. In the current market environment, gene sequencers frequently encounter the following pain points when using cooling circulation pumps:

1. Low reliability: The medical cooling pump is prone to getting stuck or other failures during long-term antifreeze operation, affecting the normal operation of the gene sequencer.

2. Unstable supply: Due to the high standards and specificity of gene sequencers, foreign water pumps were commonly used in the past, leading to long and unstable supply cycles and increased operational costs.

3. Short lifespan: Continuous operation and frequent starts and stops impose high durability requirements on water pumps. Typically, pumps need to operate reliably for over five years under normal conditions; however, conventional water pumps often have shorter lifespans, requiring frequent replacements.

4. Noise: The operational noise generated by water pumps can disturb the quiet environment of laboratories and even interfere with sequencing results.

TOPSFLO Medical Pump Solution

In response to the pain points of gene sequencer market, we launched medical cooling pump solution. This solution adopts advanced brushless DC motor technology and has the following advantages:

1. Stable and reliable performance: More than 90% of the raw materials of TOPSFLO micro pumps are imported, adopting imported plastic raw materials and international first-line electronic components. All finished products must pass 100% finished product comprehensive performance test, 100% stator comprehensive performance test, 100% air tightness test more than twice the industry standard, 100% ICT test, 100% start-stop impact test... Strict 38 quality tests to ensure that the performance of each pump is stable and reliable.

2. No stuck and no fault: TOPSFLO uses imported ceramic shafts and imported high-temperature resistant sleeves to improve the wear resistance and corrosion resistance of the pump; at the same time, it adopts optimized sleeve shaft hole design and high-quality seals and sealing structures to protect the internal components of the water pump from the risk of stuck and corrosion; in addition, TOPSFLO Pump Industry adopts dust-free and anti-static workshops and strict ISO9001 & IATF16949 quality control systems to further ensure product quality.

3. Stable supply: TOPSFLO has established long-term and stable cooperative relations with many high-quality raw material suppliers to ensure the stable supply of raw materials; at the same time, we implement scientific raw material reserves, inventory management systems, and adopt advanced production technology and equipment to realize the automation and intelligence of the production process, greatly improve production efficiency, and ensure the accuracy and timeliness of supply.

4. Long life: TOPSFLO medical water pumps use high-efficiency ECM brushless DC motors, and use high-quality imported materials and high-precision molds; the life span is up to 30,000 hours, which is much higher than ordinary water pumps on the market.

5. Efficient and silent: TOPSFLO uses high-precision silent rotors and patented low-noise structural design. The operating noise is below 35 decibels, which fully meets the laboratory's needs for a silent environment.

Conclusion

Medical pumps, as the core component of DNA sequencers, TOPSFLO cooling circulation pump provides a strong guarantee for refrigeration with its high efficiency, silence, and reliability. At present, TOPSFLO water-cooled circulation pump has passed the rigorous reliability test verification and batch long-term market verification of the giants in the gene sequencer industry, and the quality is stable and reliable!

Wanna to get custom pump service? Feel free to contact us now:

Email: info@topsflo.com

Whatsapp/Wechat：+86-19376691419

[smartcodinginfosolutions]

Software development requires developers and IT professionals to create computer programs that can solve specific problems. In a software development life cycle, developers with expertise in different fields java Programming , Data science ,Artificial Intelligence python and web development  come together and work on various aspects of the software, named phases. These phases are then combined to form the application or software capable of solving the problems within a range of inputs.

#java #python #.net #c# #codingclasses #programmingclasses #webdesignclasses

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[aryacollegeofengineering]

What are the different learning problems in the life of an engineer?

What are the different learning problems?

Markets radically reshaped by the innovations of computer technology across the globe. For the computer-savvy student who is deciding on a major, an Information Technology (IT) program at top BTech College in Jaipur can be the starting path to a long and lucrative career in a satisfying profession. One of the best things about this industry is that IT skills are not difficult to learn.

The number of industries that utilize information technology is too large. But some of the most significant ones include healthcare and manufacturing. In the healthcare industry, demand for IT skills continues to increase due to the transition of hospitals from paper to digital record-keeping.

What Can You Learn in an Information Technology Program?

IT students of Top Information Technology College in Jaipur gain expertise in business and computers along with the skills that are lucrative in today’s marketplace. IT courses also, cover the role that technology plays in the conception, storage, and growth of information in the world’s most competitive industries.

Over the span of an IT training program, engineers learn how technology is applied in various ways. Throughout it all, an IT student learns how to analyze, troubleshoot, and implement the range of technologies that apply to the business world. Furthermore, students can emerge from IT programs with a complete understanding of information security.

Role of IT Professionals

Companies of engineering colleges Jaipur hire people who work in the IT field to examine their computer systems. Also, it can determine which hardware components and software programs are vital to that system. The IT professional will later administer the required changes. Also, he/she must ensure that digital processes are implemented with maximum efficiency and security. Therefore, IT professionals have radically reshaped telemarketing over the past few decades. Through headphones, live calls can be received by fundraisers or sales staff, who greet and read pitches to subjects. They can be identified on the computer screen.

What are the Top Career Fields for IT Graduates?

IT majors can assure that their chosen career path has consistently shown to be a lucrative field, regardless of the economy. The reasons for this demand for IT experts are growing more and more computerized. So, all of this leads to the pressing question that most students ask to enroll in college to undertake this line of study. There are some of the most popular fields:

Computer and information research science

Graduates who work in IT field are measured among the movers and shakers in technological innovation. The work environments range from public to private sector institutions or universities, where research often leads to advances in production, technology, and management systems.

Computer and information systems management

This role consists of technological leadership, where the IT professionals of the list of engineering colleges Rajasthan is in charge of the computer staff, as well as the decisions made regarding hardware and software.

Computer hardware engineering

In this context, the IT professional designs and implements new and improved computer devices like fancier smartphones, faster routers, and more expansive memory cards.

Computer software engineering

Each phase of a given computer program, from spreadsheets to security information, is written and compiled by the IT professionals in this industry.

Database administration

The IT professional working in this position is responsible for the security of data. It is gathered and utilized by the company throughout a given cycle of business. With this, the administrator ensures that only qualified people granted access to such information.

Network systems and data communications analysis

The functionality and communication between computers in given company is overseen by an IT-qualified professional and experts.

Computer systems analysis

The role of analyst is to determine the type of computer system. Also, it will most adequately fulfill the technological requirements of a given company.

Network and computer systems administration

A professional in this field of private engineering colleges Rajasthan will cover the responsibilities of overseeing a company’s computer system. However, it varies from the installation of the network to the maintenance of connection lines and individual machines.

Computer support

In this role, IT skills utilized to help people troubleshoot any sort of problem. That might arise with computer software programs and hardware components.

Things to Look for in an IT Program

Information technology is an enormous field of study with multiple areas of focus. So, students of best private BTech college from various backgrounds attracted to IT programs. Many students attracted to the programming elements of the major, and others are more interested in the administrative credentials that includes an IT degree. However, IT study programs differs with some composed of courses that focuses on the particulars of selected topics. On the other hand, they cover the field in a more generalized sense.

Which Types of Students Do Best in an IT Program?

As with any field of study that involves technical knowledge and engineering skills, the potential for success in an IT program will largely rely on their personal aptitude for such disciplines. So, the IT field is centered on the programming and maintenance of computer systems.

For instance, students of Information technology college Jaipur always had a knack for troubleshooting problems with software and program code on their personal computer. They could easily be a faster learner of IT curriculum. Likewise, if they have long been assembling their own computer towers, unscrewing the enclosures to install and replace motherboards, RAM, hard drives, fans, and PCI cards for this field of study.

Source: Click Here

[tutort-academy]

But what do software engineers do? And how can you become one yourself?👨‍🦱

Software de­velopment is defined as the process of designing, creating, testing, and maintaining computer programs and applications. The process, also known as the Software Development Life Cycle, includes several phases that provide a method for building products that meet technical specifications and user requirements👩‍💻

➡️ We have curated a roadmap to launch your software development journey, have a look👆

➡️If you are looking for a domain-oriented data science program to help you change careers in data science, click here- https://bit.ly/3RuXVgS

[training-institute1]

Breaking Down the Front-End Development Process: From Concept to Code

Introduction:

Front-end development is the art and science of transforming creative concepts into functional, user-friendly interfaces. As technology continues to advance, the role of front-end developers becomes increasingly crucial in delivering seamless and visually appealing web experiences. In this blog post, we'll take a deep dive into the front-end development process, exploring each stage from conceptualization to the final lines of code.

Understanding the Project Requirements:

Before diving into the coding phase, it's essential to have a clear understanding of the project requirements. This involves collaboration between designers, project managers, and developers to define the goals, target audience, and functionality of the website or application.

2. Wireframing and Prototyping:

Once the requirements are outlined, the next step is to create wireframes and prototypes. Wireframes act as skeletal frameworks, illustrating the layout and structure of the interface. Prototypes, on the other hand, provide a more interactive representation, allowing stakeholders to get a feel for the user flow and functionality.

3. Designing the User Interface (UI):

With the wireframes and prototypes as a guide, the UI design phase begins. This is where the creative vision comes to life, as designers work on color schemes, typography, imagery, and overall aesthetics. The goal is to create a visually appealing and intuitive interface that aligns with the project's objectives.

4. Converting Designs to Code:

Once the designs are finalized, front-end developers start the process of converting static visuals into dynamic, interactive web pages. This involves writing HTML for structure, CSS for styling, and JavaScript for functionality. Responsive design considerations are also crucial at this stage to ensure a seamless user experience across various devices and screen sizes.

5. Coding Responsiveness:

In today's multi-device world, ensuring a responsive design is paramount. Front-end developers utilize media queries, flexible grids, and other techniques to create interfaces that adapt gracefully to different screen sizes. This ensures that users can access the content and features seamlessly, whether on a desktop, tablet, or mobile device.

6. Implementing Interactivity:

The magic of the front end lies in its interactivity. JavaScript plays a pivotal role in adding functionality, animations, and dynamic features to the interface. Front-end developers use frameworks like React, Angular, or Vue.js to streamline the development process and enhance the user experience.

7. Cross-Browser Compatibility Testing:

Once the code is written, it's time for thorough testing. Front-end developers check the website or application across various browsers to ensure compatibility. This step is crucial to guarantee a consistent experience for users, regardless of their choice of browser.

8. Optimizing Performance:

Page load times and overall performance are critical factors for user satisfaction and SEO. Front-end developers optimize code, compress images, and leverage caching strategies to enhance performance. This ensures a fast and smooth user experience, even on slower network connections.

9. Collaboration with Back-End Developers:

In many cases, front-end and back-end development occur simultaneously. Collaboration between front-end and back-end developers is essential to integrate the user interface with the server-side logic. Communication is key to ensure that data is exchanged seamlessly and that the application functions as intended.

10. Continuous Testing and Debugging:

Testing is an ongoing process throughout the development cycle. Front-end developers conduct thorough testing, identify and fix bugs, and ensure that the interface meets the specified requirements. Continuous integration and deployment practices can aid in automating this process, streamlining development workflows.

11. Final Deployment:

Once the development and testing phases are complete, the final step is deployment. Front-end developer course work with DevOps teams to push the code to production servers. This involves configuring servers, setting up databases, and ensuring that the live environment mirrors the testing environment.

Conclusion:

Front-end development is a dynamic and multifaceted process that involves creativity, technical skill, and attention to detail. From the initial stages of concept and design to the final lines of code and deployment, every step plays a crucial role in delivering a seamless and engaging user experience. By understanding and mastering each phase of the front-end development process, developers can contribute to the creation of visually stunning and functionally robust web applications that captivate users around the globe. Ready to embark on your journey into the world of front-end development? Unlock your potential with industry-leading front-end development courses at LearNowx!

Explore our comprehensive curriculum designed to equip you with the skills needed to excel in the dynamic field of front-end development. Whether you're a beginner looking to build a solid foundation or an experienced developer aiming to enhance your expertise, LearNowx offers courses tailored to meet your specific needs.

[blockgeni]

The majority of reports claim that AI will soon be everywhere kind of like sugar or Taylor Swift. Experts predict that in the near future, AI systems will become the cognitive foundation of everything we use or do, transforming entire industries and society. Imagine that you're in the friendly skies going somewhere when your aircraft's central nervous system, which is now controlled by AI, suddenly shuts down, rendering the aircraft powerless. Alternately, the New York Stock Exchange may decide to shut down suddenly and completely, which would cause the economy and your life savings to crash. Or your toaster won't deliver the one serving of food your body will accept before you start your daily slog to work. Believe it or not, the killer technology that was meant to destroy humanity has a small issue to fix before it can live up to its deadly potential, a belief shared by none other than Geoffrey Hinton, the guy who designed it. It just cannot remember previous stuff, which makes it a dreadful problem to have. And when it forgets, it immediately shuts down, engaging in a process known as "catastrophic forgetting" that may eerily mirror your entire high school curriculum. In remembrance of things past Any fundamental AI system that is worth its salt should be able to successfully learn a series of tasks through a method known as constant learning. Learning occurs in humans when our brain is able to recall memories of earlier instances of performing something. This is dependent on the REM cycle, which occurs during the sleep phase and pushes recent memories into the long-term memory bank to make room for new memories. Since AI neural networks fundamentally replicate how the human brain functions, there has long been an expectation that an algorithm can use its stored knowledge of carrying out all of its previous tasks to learn new ones in a manner similar to way we humans do. However, this just doesn't seem to be the case. Huge gaps in cognition are being caused by something that is going on, or not going on, depending on the situation, in the training of artificial neural networks. While learning new things, the neural networks will completely forget all of their prior knowledge, after which they will begin to freeze. Researchers came up with a creative solution to remedy this problem. They started feeding AI systems old data while processing new ones, a method known as interleaved training, which they believed matched how the brain functions while it is asleep. From a purely practical standpoint, there isn't nearly enough time for the brain -- or its machine imitator -- to digest all of this previous learning material while you are asleep, therefore it turns out that this process doesn't actually occur in the brain. The solution has to be somewhere. Researchers from the University of California, San Diego and the Institute of Computer Science of the Czech Academy of Sciences in Prague, Czech Republic, examined sleep as well, but from a different angle. They eschewed a traditional neural network – one that constantly adjusts its synapses (the connections between neurons) until it finds a solution – in favour of a'spiking' one that they thought most closely resembled the human brain. The researchers found that a "spiking" network consumes substantially less power and bandwidth since it only transmits an output after receiving a large number of signals over time. Thus, it is able to reactivate neurons that are involved in recalling previously learned tasks. It seems to function. After passing through sleep-like stages, the spiking neural network was capable of carrying out both tasks. According to one of the study's researchers from the University of California, San Diego, Jean Erik Delanois, their work highlights the value in developing biologically inspired solutions. In the image of thy creator More recently, while addressing the same issue of catastrophic forgetting in deep-learning neural nets, researchers at Ohio State University avoided sleep.

To tackle this issue, they adopted a completely unique and clever strategy. Ness Shroff, an Ohio State professor of computer science and engineering, said that his study delves into the difficulties of continuous learning in these artificial neural networks and uncovers ideas that start to close the gap between machine and human learning. Traditional machine learning algorithms are force-fed data in one huge push, Shroff and his colleagues found, but that's not always beneficial for the machine. In fact, how closely related activities are to one another, what characteristics they share, and even the order in which the tasks are presented all have an impact on how well the algorithm recalls them. In what could simply be one of the more amusing ironies of our day, Shroff and his colleagues discovered that algorithms, like humans, were significantly better able to remember when supplied with a succession of highly distinct tasks rather than a series of identical tasks. This is how human brains also work. If they repeatedly go to the same place or have the same experience, the same events—parties, vacations, even days of the week—blend into one another. However, the distinctive ones stand out. In order for the AI to learn new things as well as activities that are similar to previous ones, the Ohio State researchers found that dissimilar tasks need to be presented extremely early in the continuous learning process. Their work is especially crucial because, according to Shroff, a better understanding of AI may be possible if we can identify the parallels between computers and the human brain. Algorithms must be scalable, capable of handling many and unforeseen scenarios, and able to learn better for AI to be really successful and safe. This goal should be greatly aided by these two machine memory options. Source link

[digitalmarketing923]

Clinical trial dexterity: Factors that matter

The term "dexterity" is often used interchangeably with agility, to the point that it's almost a buzzword. For some industries, such as pharmaceuticals and life sciences, agility can have a direct impact on people's daily lives.

When you think about the factors that reduce clinical trial agility, one of the first things that come to mind is the pandemic.

In 2020 alone, more than 79% of ongoing trials were disrupted for reasons such as halting recruitment, halting site development, or halting trials entirely.

As the pandemic-related barriers lifted, clinical trials still faced agility challenges.

Why is this happening?

Clinical trials were struggling with efficiency issues long before the pandemic began.

What this tells us is that study duration has been increasing and has been increasing for some time. However, what we're hearing from colleagues and patients alike is that diseases are affecting modern life faster than ever before. Learn, the best clinical data management course at True Lessons and grab this opportunity.

Now let's look at the major trial factors/s that affect agility.

1. TRIAL AND PROTOCOL COMPLEXITY

In particular, protocol complexity has become a major clinical research challenge that adds unplanned time and costs to trials. What is causing this?

According to a recent study, there has been an increase in deviations across all trial phases and a rise in the percentage of protocols with at least one significant change. Deviations, whether from investigators, site staff or subjects, interrupt trial progress and lengthen the trial timeline. These changes require additional file and approval time and increase site burden while impacting subject retention. Both of these issues call into question the transparency of the trial protocol itself.

Another contributing factor to protocol complexity is an increase in the number of trial goals, endpoints and eligibility criteria. The average number has increased by 86% over the past two decades, while the average number of eligibility criteria has increased by 50%.

The cumulative effect of these increases in complexity is to slow trial progress at a critical time when results and new treatments are being sought. Clinical research courses at True lessons designed to overcome the challenges faced by you in clinical trials.

DATA/ANALYTICS

As if protocols weren't complicated enough, they're now being developed to collect exponentially more data. One of the reasons for this is the increased reliance on external data sources, such as wearable devices. Another is the digital revolution that has made constant data collection possible.

Large volumes of data have an impact on both data management and trial cycle times. At True Lessons we support you with practical methods of planning, collection, storage, and dissemination of data in clinical research.

Increasing the volume of data also increases the burden.

In many cases, data is being collected not because it is relevant to the study but because it could be useful down the road. True Lessons conducts several courses and qualifying in clinical data management course opens up newer avenues in data compilation.

Changing your thinking to focus on study-specific criteria would significantly increase trial speed and shorten trial timelines.

PROCESSES AND TECHNOLOGY

When it comes to how and where clinical trials are conducted, some would argue that siteless trials are a way to improve agility.

Yes, siteless trials are convenient and in some ways help address resource constraints.

On the other hand, completely siteless trials may actually reduce agility by increasing patient burden and slowing processes due to additional technical training.

And with a continued focus on patient-centered care, how can this be sustained in a siteless setting?

Instead of advocating for siteless trials, consider other processes and technologies that can increase agility while maintaining safety and accuracy.

Conclusion

Clinical trials are growing in number and complexity. High quality courses can only help you to secure clinical data management jobs which are now on high demand.  In order to make up for lost time due to COVID-19 and to remove barriers to efficiency, trial agility needs to be at the top of the agenda. However, it can also require time to identify the right actions to make a long-term difference.

At Advanced Clinical Trial, we don't believe there's a "one size fits all" approach to clinical trial agility. First and foremost, the needs of the site and the needs of the patient need to be taken into account. Ultimately, this will help you identify opportunities where you can improve a clinical trial's agility. True Lessons offering all the latest courses in clinical research is un-doubly the best bet in this segment.

[altabrisagroup1]

How Compliance Consulting Enhances Drug Development Processes

Introduction

The drug development process is a complex and highly regulated journey from initial research to market approval. Ensuring compliance with regulatory requirements is crucial at every stage to guarantee patient safety, maintain data integrity, and gain regulatory approval. Compliance consulting plays a vital role in enhancing drug development processes by providing expert guidance, ensuring adherence to regulations, and optimizing overall efficiency. In this blog post, we will explore the ways in which compliance consulting enhances drug development processes.

Expert Guidance on Regulatory Landscape

Compliance consultants are well-versed in the ever-evolving regulatory landscape of the pharmaceutical industry. They keep abreast of changing guidelines, laws, and best practices issued by regulatory authorities. By partnering with compliance consultants, drug development teams gain access to invaluable expert guidance on navigating the complexities of the regulatory environment.

Ensuring Early Regulatory Alignment

During the early stages of drug development, compliance consultants collaborate with research and development teams to ensure regulatory alignment. By identifying potential regulatory challenges early on, they help drug developers make informed decisions to meet compliance requirements throughout the development process.

Streamlining Clinical Trial Design and Execution

Compliance consultants play a crucial role in designing and executing clinical trials. They ensure that trials are conducted in compliance with Good Clinical Practice (GCP) guidelines, leading to more accurate and reliable data. This not only accelerates the trial process but also increases the chances of regulatory approval.

Data Integrity and Quality Management

Maintaining data integrity is paramount in drug development. Compliance consultants implement robust data management systems and procedures, ensuring the accuracy, completeness, and reliability of data generated during preclinical and clinical studies. This contributes to the credibility of results and enhances the overall quality of drug development.

Implementing Good Manufacturing Practice (GMP)

During drug manufacturing, compliance consultants assist in implementing Good Manufacturing Practice (GMP) guidelines. They ensure that the manufacturing processes, facilities, and equipment adhere to GMP standards, safeguarding product quality and patient safety. Check here Life Science Consulting

Risk Management and Mitigation

Compliance consultants conduct thorough risk assessments throughout the drug development process. By identifying potential compliance risks, they develop risk mitigation strategies, minimizing the chances of costly delays or regulatory issues.

Preparing for Regulatory Submissions

Preparing regulatory submissions is a critical phase in drug development. Compliance consultants assist in compiling and organizing the required documentation, ensuring accuracy, completeness, and adherence to regulatory guidelines. This reduces the risk of submission rejections and expedites the regulatory approval process.

Handling Regulatory Inspections

Compliance consultants help drug development teams prepare for regulatory inspections. They conduct mock inspections, identify potential areas of concern, and assist in addressing any findings before regulatory authorities' actual visits.

Continuous Compliance Improvement

Compliance consulting is not limited to a one-time engagement. Consultants work collaboratively with drug development teams to instill a culture of continuous compliance improvement. This proactive approach ensures that compliance remains a top priority throughout the drug development life cycle.

Conclusion

Compliance consulting plays a pivotal role in enhancing drug development processes by providing expert guidance, ensuring adherence to regulatory requirements, and optimizing overall efficiency. By partnering with compliance consultants, pharmaceutical companies can confidently navigate the intricate regulatory landscape, accelerate drug development timelines, and bring safe and effective medications to market. Ultimately, compliance consulting contributes to the advancement of medical science and the improvement of patients' lives.

[edatascience]

Data Understanding and Data Analysis. What's the difference?

CRISP DM

What is CRISP DM? For Data Mining process, we usually use CRISP DM data mining process:

Based on: https://www.datascience-pm.com/crisp-dm-2/

Data Mining process steps includes Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment.

- Business Understanding step - we need to understand the business and establish the question we need to answer for the data mining

- Data Understanding step - we need to understand the data. We can use statistics such as descriptive, regression analysis to understand the data.

- Data Preparation step - it is the cleaning of the data and we can remove duplicates here.

- Modeling step - we create clustering models, prediction models, classification models.

- Evaluation step - we evaluate which models is more accurate and select.

- Deployment steps - we can create data products.

For Data Science, at the Deployment steps, we create data products for businesses. We can create softwares that predicts something. In the table, the goal is to build data products for a business.

For Data Mining, at the Deployment steps, we create reports or PowerPoints slides on our results. In the table, the goal is to extracting important information.

Read More on CRISP DM: http://edatascience.great-site.net/2023/03/08/what-is-crisp-dm/

Data Analysis Process

What is Data Analysis Process? The following is the summary of Data Analysis process:

Identify - You need to identify why you need data analysis in the first place?

Collect - As the name suggest, this is the step you collect data.

Analyse - To analyze data, you can use descriptive statistics (mean, median, …), inferential statistics, data visualizations (charts) to analyze the data.

Interpret - It is time to interpret your results. Write report.

Read more: http://edatascience.great-site.net/2023/03/09/what-is-data-analysis-process/

Data Understanding and Data Analysis Process

According to IBM, the life cycle model consists of six phases with arrows indicating the most important and frequent dependencies between phases. The sequence of the phases is not strict. In fact, most projects move back and forth between phases as necessary. The CRISP-DM model is flexible and can be customized easily.

Read: https://www.ibm.com/docs/en/spss-modeler/saas?topic=dm-crisp-help-overview

Since the sequence of phases or steps is not strict and we can customize, if we change from “Business Understanding step -> Data Understanding step -> Data Preparation step “ to. “Business Understanding step -> Data Preparation step - > Data Understanding step “

We will get the following:

If we put customized CRISP DM to Data Analysis Process:

Do you realize that they are same?

Business Understanding step is the same as “Identify”: Why do we need the project. Business Success Criterias.

Data Preparation step is the same as “collect” and “clean”: Collect data from data sources, process or clean the data by doing remove missing values, impute missing values, remove duplicates.

Data Understanding step is the same as “Analyze”: analyze with descriptive statistics, Inferential Statistics, data visualization.

Write report in CRISP DM is same as “interpret”.

In CRISP DM, if we exit a Data Understanding step, Data Analysis. If we exit at Deployment, Data Mining or Data Science.

If you want to learn more about data science, you can go to http://svbook.great-site.net/?i=1

SVBook Pte. Ltd. assists people to know What is Data Science, Text Analysis, Text Mining, Text Analytics, AI and Machine Learning, process of data, Data Mining to Insights Process using CRISP DM. Data Mining Process Steps includes Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment.

DSTK.Tech (https://dstk2.sourceforge.io/) creates tools and technologies for Data Science, develops open source tools for data science.

EMHAcademy (http://emhacademy.great-site.net/) offers courses to help people become Certified Data Scientist.

Thanks for readings.

Kind Regards,

Eric Goh

Buy me a cup of coffee：https://www.buymeacoffee.com/gohminghui

References:

－ https://www.ibm.com/docs/en/spss-modeler/saas?topic=dm-crisp-help-overview

Buy me a cup of coffee：https://www.buymeacoffee.com/gohminghui

Read the full article

[smartcodinginfosolutions]

Alvin IT Solutions Software Training Institute

Software development requires developers and IT professionals to create computer programs that can solve specific problems. In a software development life cycle, developers with expertise in different fields java Programming , Data science ,Artificial Intelligence python and web development  come together and work on various aspects of the software, named phases. These phases are then combined to form the application or software capable of solving the problems within a range of inputs.

#java #python #.net #c# #codingclasses #programmingclasses #webdesignclasses

#programmingclassesnearVirar

#Programmingclassesnearmewithfees

#Programmingclassesnearmeforbeginners

#Programmingclassesnearmeforstudents

#offlinecodingclassesinmumbai

#Freeprogrammingclassesnearme

[aryacollegeofengineering]

What are the different learning problems in the life of an engineer?

Different learning problems

Markets radically reshaped by the innovations of computer technology across the globe. For the computer-savvy student who is deciding on a major, an Information Technology (IT) program at top BTech College in Jaipur can be the starting path to a long and lucrative career in a satisfying profession. One of the best things about this industry is that IT skills are not difficult to learn.

The number of industries that utilize information technology is too large. But some of the most significant ones include healthcare and manufacturing. In the healthcare industry, demand for IT skills continues to increase due to the transition of hospitals from paper to digital record-keeping.

What Can You Learn In An Information Technology Program?

IT students of Top Information Technology College in Jaipur gain expertise in business and computers along with the skills that are lucrative in today’s marketplace. IT courses also, cover the role that technology plays in the conception, storage, and growth of information in the world’s most competitive industries.

Over the span of an IT training program, engineers learn how technology is applied in various ways. Throughout it all, an IT student learns how to analyze, troubleshoot, and implement the range of technologies that apply to the business world. Furthermore, students can emerge from IT programs with a complete understanding of information security.

Role of IT Professionals

Companies of engineering colleges Jaipur hire people who work in the IT field to examine their computer systems. Also, it can determine which hardware components and software programs are vital to that system. The IT professional will later administer the required changes. Also, he/she must ensure that digital processes are implemented with maximum efficiency and security. Therefore, IT professionals have radically reshaped telemarketing over the past few decades. Through headphones, live calls can be received by fundraisers or sales staff, who greet and read pitches to subjects. They can be identified on the computer screen.

What Are The Top Career Fields For IT Graduates?

IT majors can assure that their chosen career path has consistently shown to be a lucrative field, regardless of the economy. The reasons for this demand for IT experts are growing more and more computerized. So, all of this leads to the pressing question that most students ask to enrol in college to undertake this line of study. There are some of the most popular fields:

Computer and information research science

Graduates who work in IT field are measured among the movers and shakers in technological innovation. The work environments range from public to private sector institutions or universities, where research often leads to advances in production, technology, and management systems.

2. Computer and information systems management

This role consists of technological leadership, where the IT professionals of the list of engineering colleges Rajasthan is in charge of the computer staff, as well as the decisions made regarding hardware and software.

3. Computer hardware engineering

In this context, the IT professional designs and implements new and improved computer devices like fancier smartphones, faster routers, and more expansive memory cards.

4. Computer software engineering

Each phase of a given computer program, from spreadsheets to security information, is written and compiled by the IT professionals in this industry.

5. Database administration

The IT professional working in this position is responsible for the security of data. It is gathered and utilized by the company throughout a given cycle of business. With this, the administrator ensures that only qualified people granted access to such information.

6. Network systems and data communications analysis

The functionality and communication between computers in given company is overseen by an IT-qualified professional and experts.

7. Computer systems analysis

The role of analyst is to determine the type of computer system. Also, it will most adequately fulfill the technological requirements of a given company.

8. Network and computer systems administration

A professional in this field of  best private engineering college in  Rajasthan will cover the responsibilities of overseeing a company’s computer system. However, it varies from the installation of the network to the maintenance of connection lines and individual machines.

9. Computer support

In this role, IT skills utilized to help people troubleshoot any sort of problem. That might arise with computer software programs and hardware components.

Things to Look For In an IT Program

Information technology is an enormous field of study with multiple areas of focus. So, students of best private BTech college from various backgrounds attracted to IT programs. Many students attracted to the programming elements of the major, and others are more interested in the administrative credentials that includes an IT degree. However, an IT study program differs with some composed of courses that focus on the particulars of selected topics. On the other hand, they cover the field in a more generalized sense.

Which Types Of Students Do Best In An IT Program?

As with any field of study that involves technical knowledge and engineering skills, the potential for success in an IT program will largely rely on their personal aptitude for such disciplines. So, the IT field is centered on the programming and maintenance of computer systems.

For instance, students of Information technology college Jaipur always had a knack for troubleshooting problems with software and program code on their personal computer. They could easily be a faster learner of IT curriculum. Likewise, if they have long been assembling their own computer towers, unscrewing the enclosures to install and replace motherboards, RAM, hard drives, fans, and PCI cards for this field of study.

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[hgllearn]

Way to Begin a Software Testing Career

                                                         

In case you are fresh out of college or you're trying to shift careers, you may need to consider a career in software testing. That is one of the most in-demand for positions in company environments in recent times, and it can pay pretty well too. There is a lot to find out about software testing so earlier than you submit your resume, ensure to read this article and apprehend what this profession is all about.

What do software program testers do?

This is largely synonymous with quality control and actually the technique with the aid of which application quality is tested and progressed. Software program testers are responsible for discovering and documenting bugs in software with the usage of tools like Microsoft Word, Microsoft Excel, Web or Software Bug tracking. They act because of the bridge between the organization that makes the software, the company that orders the software, and the end-users.

Organizations employ testing in every phase of the product life cycle from requirement specifications, design, coding, and eventually to user recognition. If you want to start a profession in testing you must recognize that many complex software structures require in-intensity analytical and technical skills to test them. You need to be skilled in exceptional computer programming languages like Java and C++ for unit testing, and you will want adequate scripting capabilities for automation testing.

Characteristics of a best software program tester

The first thing you want to do before applying for a job in software testing is to take inventory of your talents. You want to ask yourself when you have an awesome draw close of the primary and more superior concepts of software testing. In case you trust that you have had sufficient training in college, software testing courses online or at your preceding company, then submit that resume. Just remember that it cannot be confused enough that technical expertise is vital to start your profession. In case you think you're lacking in unique abilities then make an effort to enroll in courses or seminars to enhance them.

Additionally, it's important for a software tester to communicate nicely now, not simplest to the client however additionally to his or her co-workers. Maximum of the time you'll be working in teams, and as such it's important to preserve a harmonious relationship with them.

An excellent software tester additionally needs to have good analytical and judging skills. Finding kinks inside the program and knowing how to restore them are essentially the bread and butter of testing jobs. Know that once you start working as a software tester there will be a whole lot of critical thinking to your give up. So apart from technical skills, numerous recognition and concentration might be anticipated of you.

Conclusion

Within the final analysis, a good software tester needs to have brief mastering abilities. So if you need to begin a career in software testing then you must be eager to learn and also you should be at ease operating with new software programs without the need to learn drastically by a developer.

A lot of demanding situations are in keep for you because the sector of software development is exciting and dynamic. Put together both mentally and physically when you go for your interview, research the organization properly, and sell yourself by highlighting your strengths and abilities.

HGL Learn is one of the Best software training institutes in Hyderabad. We are providing professional educational services SAP training, Dotnet, Java, Data science, DevOps, Hadoop, Salesforce, Python, Core Java and other courses offered with a job orientation.

[tutort-academy]

THE SOFTWARE TESTING LIFE CYCLE 🔥

The Software Testing Life Cycle (STLC) is a systematic approach to testing a software application to ensure that it meets the requirements and is free of defects. It is a process that follows a series of steps or phases, and each phase has specific objectives and deliverables👩‍💻

The STLC is used to ensure that the software is of high quality, reliable, and meets the needs of the end-users👀

➡️ To know more about it, check out here👇

➡️ If you want to start your career into the field of data science, ML and AI visit here-- www.tutort.net 📍

[transsolar]

On the way to counteracting climate change                                         

Making a building climate-neutral means avoiding CO2 emissions as far as possible and compensating for unavoidable emissions. To achieve this, all operational emissions, including those resulting from user energy use, and hidden emissions must be accounted for. Our goal is to get it right – transparently, comprehensively, and without loopholes, so that the balance sheet not only looks good, but is also accurate. We have now developed our first version of a methodology to clarify internally important key points and to use as a guide for our projects. It is based on existing guidance from DGNB, CaGBC and, especially, the Living Building Challenge. On some points we have different opinions. These are typically those where the certifications also differ the most.

We apply LCA (Life Cycle Assessment) system boundaries, based on the EN15978 standard. This provides modules, or lifetime phases, for which reliable data can be found.

The time frame for the CO2 balance is, in our view, ideally 20 years from commissioning and ends no later than 2050. By then the carbon balance should be zero. Annual measurement data are to serve as a basis.

Renewable energy should be generated on site if possible and preferably also stored. The minimum amount to be achieved is 65% of what horizontal photovoltaics would generate on an area equal to that of the building roof. For high-rise buildings, we strongly recommend integrating PV into the facades as well as energy storage to help decarbonize the grid. Any energy surplus offsets the CO2 emissions of the building's embodied energy.

If on-site renewable energy is not sufficient to achieve climate neutrality, renewable energy from off-site should be used. If this energy is generated in the same region/state, we can be more confident that that carbon credits will not be double counted. Other options must be considered project by project.

CO2 emission factors for different energy sources are key inputs for calculations but make carbon accounting very academic and complex, especially since energy systems are very dynamic. There are hourly, monthly, and annual values, but also things like average and short- or long-term marginal emissions to consider, which attempt to reflect short- or long-term changes in energy demand and generation, and more. We choose emissions factors on a project-by-project basis based on data availability, assessed accuracy, project specifics, and the state of the science.

Transsolar does its best to be on the cutting edge of science for the good of the world's climate, to size systems appropriately when designing, and to balance CO2 values correctly. More about our approach >

[ineeddev]

We Are Hiring! Title: Senior Big Data Project Manager- IT Solutions Field/AI Company: BMB Drive – KSA Location: King Abdulaziz - Al Muruj Dist., Riyadh, Saudi Arabia. Working Conditions: Full time. No of Vacancies: (2) Who can apply: Saudi residents, non-Saudi residents, inside or outside KSA, with or without Visa, Effectiveness: for immediate hiring.Job Brief: We are looking for a highly motivated and passionate Sr. Project Manager with a technical background in data management to drive a strategic and large Data & Ai implementation project and future projects to come. Job Main Duties: Analytical/Decision Making Responsibilities: ·Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages variances. ·Proactively identify risks and issues on projects - leading team to develop risk management and issues management plans. ·Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budget. ·Anticipates problems before they occur; defines the problem or risk; identifies possible causes; works with team to identify solutions; selects and implements most appropriate solution. ·Demonstrate business analytics to manage and meet sponsor and customer needs. Knowledge and Skills Requirements: ·The role will have responsibility to manage project phases utilizing existing operational teams ,hired skills, third party resources. ·Experience of managing IT projects with personal accountability for delivering to time and cost for large, complex projects typically more than $2-3 million in value and above 1 year in duration ·Mastery of project management methodology and tools (includes program/project planning, schedule development, scope management and cost management) ·Experience of working with 3rd party vendors ·Experience in managing to contract; ensuring clients and suppliers alike perform in accordance with original agreement ·IT background with experience across the systems development life cycle with experience in all project phases – plan, initiate, elaborate, design, build, test, implement. ·Working knowledge of market-leading data analytics tools such as Tableau is desired. ·Experience of delivering enterprise-scale Data Analytics projects .Fluently in English both verbally and in writing; Arabic is a plus. ·A degree in Computer Science or a related discipline; or equivalent work experience. ·10+ years in IT Solutions industry,5+ years’ experience in project management. ·Other relevant experience in a related technical field (data & AI management, application development, deployment/implementation and infrastructure) ·Project management certification is preferred (PMI/CAPM or PMP, PRINCE2) ·Familiarity with ITIL v3 or 4 would be advantageous. For interested candidates, please apply with your updated CVs. #projectmanagerjobs