#data_science

[edujournalblogs]

Data Cleaning in Data Science

Data cleaning is an integral part of data preprocessing viz., removing or correcting inaccurate information within a data set. This could mean missing data, spelling mistakes, and duplicates to name a few issues. Inaccurate information can lead to issues during analysis phase if not properly addressed at the earlier stages.

Data Cleaning vs Data Wrangling : Data cleaning focuses on fixing inaccuracies within your data set. Data wrangling, on the other hand, is concerned with converting the data’s format into one that can be accepted and processed by a machine learning model.

Data Cleaning steps to follow :

Remove irrelevant data

Resolve any duplicates issues

Correct structural errors if any

Deal with missing fields in the dataset

Zone in on any data outliers and remove them

Validate your data

At EduJournal, we understand the importance of gaining practical skills and industry-relevant knowledge to succeed in the field of data analytics / data science. Our certified program in data science and data analytics is designed to equip freshers / experienced with the necessary expertise and hands-on experience experience so they are well equiped for the job.

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[bfitgroup]

Why Engineers Should Learn Data Science and AI

Engineers can surely benefit significantly by learning data science and AI due to increased job opportunities, solving complex problems, and also the ability to enhance their problem-solving skills and contribution to innovation.

We all know that data science and AI offer a powerful combination of skills that can be applied across a vast engineering disciplines to improve efficiency, and develop new solutions. In this blog we will discuss about data science for engineering students along with AI skills for engineers.

Below is a detailed look at why engineers should consider learning data science and AI:

The Job Market is Booming

Data science and AI are among the fastest-growing fields, and the demand for professionals with these skills is expected to continue to rise. As perthe study, the number of job postings for data scientists has increased by almost 75% over the past five years, and the demand for AI professionals is growing even faster. That is exactly why data science for engineering students is becoming important.

High Salaries

You’re an engineer, and opting for Data Science and AI will give you a higher salary option. There is no denying that Data Science and AI skills are driving salaries higher, making these careers some of the most lucrative ones in the tech industry. Engineers who take on Data Science and AI can earn salaries that are very high.

Solve Real-World Problems

Engineers can learn Data Science and AI to solve some of the world’s most pressing problems, which range from healthcare outcomes to reducing crime, and also improving the traffic flow in cities. By learning these very skills, you will have the chance to make a real impact on the world and people’s lives.

Cutting-Edge Technology

Are you an engineer, then you should be aware that Data Science and AI are one of the most cutting edge technologies of the time, and they are contantly changing the way we live and work. Data science for engineering students is becoming important. if they learn these skills, then they will be at the forefront of technological advancement.

Versatility

Today, we are well aware that data science and AI can be applied in a wide range of industries, from healthcare to finance, retail and beyond. This form of versatility makes the skills very valuable, especially for engineers.

In — Demand Skills

Data Science and AI skills for engineers are becoming more and more in demand. Whether you’re looking to start a new career or even advance in your current field, these skills will give you a competitive edge in the job market — especially if you’re an engineer.

Interdisciplinary

We know that Data science and AI are interdisciplinary fields, so, as an engineer, one can gain a deep understanding by developing these skills, from mathematics and statistics to programming and computer knowledge. By learning these skills, one will have the opportunity to develop a broad and diverse skill that can be applied in many different contexts.

Exciting Work

In Data science and AI the work is continuously changing, and so it’s a very exciting field. If you’re an engineer, then you will always be working on large scale data analysis project, or even developing cutting-edge AI systems. Here, one will never get bored.

To read more, visit: https://bfitgroup.in/why-engineers-should-learn-data-science-and-ai/

[iprogrammersolutions]

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[ict-123]

The global global data science platform market was valued at $4.7 billion in 2020, and is projected to reach $79.7 billion by 2030, growing at a CAGR of 33.6% from 2021 to 2030.

[phonemantra-blog]

The Botkin.AI medical image analysis system will be thoroughly checked For the first time, Roszdravnadzor has suspended the use of a medical platform using artificial intelligence (AI), as reported by Kommersant . We are talking about the Botkin.AI medical image processing and analysis system, which helps detect pathologies in computed tomography images. According to the department, the use of Botkin.AI was suspended “due to the threat of harm to the life and health of citizens.” The Botkin.AI platform received a registration certificate in 2020; it was developed by the Intellogic company with attraction of more than 250 million rubles of investment from a number of venture funds, including those belonging to Rosatom, the Ministry of Industry and Trade, R-Pharm and Tashir. The developers then claimed that the Botkin.AI system was integrated into the Unified Radiological Information System of the city created by the Moscow City Hall to help detect lung cancer. Roszdravnadzor banned the use of a medical platform with artificial intelligence [caption id="attachment_84098" align="aligncenter" width="780"] artificial intelligence[/caption] The Moscow Department of Health told reporters that the Botkin.AI platform is not used in medical institutions of the capital, but as part of the experiment it is used by more than 50 other AI services that identify signs of pathologies in 28 clinical areas. For example, as we have already written , a system is used to make a final diagnosis for a patient using AI, although the final decision still remains with the doctor. Journalists were able to receive a number of comments regarding the suspension of the use of Botkin.AI: for example, Tashir Medika reported that they are aware of this and understand the reasons, and Unicorn Capital Partners (the management company of the venture fund of the Ministry of Industry and Trade) emphasized that some or the threat of the system causing harm to the life and health of citizens is “completely excluded.” Medical products with AI belong to a high, third class of risk, so Roszdravnadzor pays close attention to them, and the suspension of the use of such a platform may last until all concerns are eliminated.

[jobrxiv]

PhD in biomedical data science and computational disease biology UMass Lowell, Department of Biology & Center of Biomedical and Health Research in Data Sciences Come join our lab at @UMLResearch using #datascience for discoveries in cancer and Alzheimer's. Lowell is in lovely greater #Boston See the full job description on jobRxiv: https://jobrxiv.org/job/umass-lowell-department-of-biology-center-of-biomedical-and-health-research-in-data-sciences-27778-phd-in-biomedical-data-science-and-computational-disease-biology/?feed_id=95551 #Bioinformatics_and_Computational_Biology #data_science #machine_learning #ScienceJobs #hiring #research

[edujournalblogs]

Importance of Big Data Analytics

Strategic decision for business forecasts and optimizing resources, such as supply chain optimization.

Product development and innovation.

Personalized Customer Service to provide enhanced customer service and increase customer satisfaction.

Risk Management to identify and mitigate risks.

Optimizing the work force hence saving work and time.

Healthcare sector support by tracking patients health records of past ailments and provide advanced diagnosis and treatment.

Providing quality services like preventing crime, improve traffic management, and predicting natural disasters, optimize supply chain processes, reduce cost, improve product quality through predictive analysis, improve teaching methods through adaptive learning etc.

Helps Banking sectors track and monitor illegal money laundering and theft.

Scalability

Check out our master program in Data Science, Data Analytics and ASP.NET- Complete Beginner to Advanced course and boost your confidence and knowledge.

URL: www.edujournal.com

[hardpenguinreview-blog1]

SASVBA Is One of the best training Data Science institutes in Delhi/NCR Which Helps Students to Crack Interviews in Tech Giants. We Emphasis on Theory as well as practical to create a Good Foundation for Students.

[ra-thi-blog]

Relation between Employment and Suicide Rate!

It has been long that i’m stuck at house because of lockdown so i choose a course on Data Science on coursera. I have choosen the gapminder data set.

After looking through the available data set i have decided to centre my research to understand what effect does life expectancy has on alcohol consumption an suicide rate.

For this i’ll be using variables like suicide/100, alcohol consumption, life expectancy and employment rate.

Conclusion: though the missing value will have significant impact but with the available resources i would be able to get some insight on this data and can predict the rate at which this factors will affect a country. 

Questions:

Does less employment rate mean more suicide rate?

Are life expectancy and alcohol consumption interelated?

Are all this factors inter-related?

Thank You

[imraghav-agr-blog]

Chosing a data set and finding research questions

Hello peeps!

Purpose:

This blog is for the purpose of submitting my first peer graded assignment of the coursera course- Data Management and Visualization by Wesleyan University.

Introduction:

I found my interest in understanding of statistics about social, economic, and environmental development. And this was the main theme of the GapMinder dataset. So, i have chosen GapMinder dataset to dig it more for finding various relations which can answer my research question(s).

In this dataset, there are 213 examples with 16 features(including country name) associated with each one of them, some of the features/variables are incomeperperson, alcoconsumption, HIVrate, lifeexpectancy, suicide rate, etc. 

Research Question:

Among these features many interconnections can be found out which is a matter of research. But, for now my interest is slipping towards answering the following question:

Is there any relationship between suicide rate and its maybe causing features like income of the person, alcohol consumption, employment, HIV and internet usage?

Discussing above question in more detail:

Is suicide somehow linked with:

1- Individual’s income

2-If he/she consumes alcohol or not?

3-if he/she is employed or not?

4-Had the person done suicide in some connection with being HIV positive?

5- Is more negative internet usage brainwashing an individual to commit suicide?

Hypothesis:

I believe, with more digging up, a firm relationship can be found out between suicide rate and life factors. By knowing the problem, we can search for the solution by improving our life factors and leading a happy and health life.

Summary:

On sumrising up my research question, i can say that, i want to uncover any hidden relationship between a person commiting suicide and his life factors such as income, etc. 

Reference data set:

If anyone of you is interesed in exploring the dataset which i have chosen, you can surely dig into it by clicking on the following link:

Click her to go to the Gap Minder dataset

Thanks!

[sonusubudhi-blog]

Link between female employment, life expectancy and oil usage

Dataset selection:

For my research during the data management course I am interested in using the Gapminder code book. The topic that was of great interest to me was female employment rate and life expectancy.

Research question and hypothesis:

I wanted to ask the following questions:

(1)   does female employment rate have an impact on life expectancy?

(2)   Also does female employment rate have an effect on oil per person usage?

My hypotheses for the above questions are that

(1)   Female employment rate significantly increases life expectancy

(2)   Female employment rate also significantly increases oil per person usage

Literature review:

We can infer a lot about human development and health status by considering life expectancy. A study in the united states has shown that unemployment and life expectancy are associated [1]. For example in 1990 to 1992, life expectancy was shorter by 4.7 years in areas with highest unemployment rate than those with lowest unemployment rate. The link between female employment rate and overall life expectancy is largely not known [2].

Also, with growing concerns about climate change, I would also like to know about the impact of oil per person usage and female employment rate. This would allow us to channel out resources in the right direction in the future. There is some association of energy consumption employment [3]. However, research about female employment and oil usage is largely unknown.

1.         Singh, G.K.; Siahpush, M. Inequalities in US Life Expectancy by Area Unemployment Level, 1990–2010. Scientifica2016, 2016, 1–12.

2.         WHO | Female life expectancy Available online: https://www.who.int/gho/women_and_health/mortality/situation_trends_life_expectancy/en/ (accessed on Sep 15, 2019).

3.         The Link between Energy Consumption, Employment, and Recession Available online: https://oilprice.com/Energy/Energy-General/The-Link-between-Energy-Consumption-Employment-and-Recession.html (accessed on Sep 15, 2019).

[blogriamoni-blog]

ExcelR offers data science course Singapore that includes instructor-led virtual online data science training in Singapore along with data science certification. This data science course involves 160 hours of interactive virtual sessions led by an instructor and is one of the best data science courses available in the Data Science training market space right now. Our Data Science training covers the complete Data Science realm from concepts like Data Cleansing, Data Extraction, Data Integration, building Prediction models, Data Mining, and Data Visualization. Skills and tools ranging from Hypothesis Testing, Statistical Analysis, Machine learning, Text mining, Natural Language Processing (NLP), Regression models, Predictive Analytics, R Studio, Minitab, Tableau, XLminer, programming languages that includes R for data science and also includes Python for Data Science are extensively covered as an integral portion of this 160 hour training. This data science online course provides participants with the chance of working on more than 60 assignments and a capstone project that helps ensure a hands-on experience for them.

[phonemantra-blog]

The Ultimate Guide to RTX A5000: Unleashing the Power of Next-Generation Graphics Understanding RTX A5000 What is RTX A5000? The RTX A5000 is a powerful graphics card developed by NVIDIA. It is the latest addition to the RTX series and is designed to deliver exceptional performance and cutting-edge technology for graphics-intensive tasks and applications. [caption id="attachment_62082" align="aligncenter" width="800"] RTX a5000[/caption] Evolution of RTX A5000 The RTX A5000 represents the culmination of NVIDIA's continuous innovation in the field of graphics cards. It builds upon the advancements made in previous RTX models, incorporating new features and improvements to deliver even better performance and visual quality. Benefits of RTX A5000 The RTX A5000 offers numerous benefits to professionals and enthusiasts alike. Its powerful GPU architecture, high CUDA core count, and ample memory capacity enable faster rendering, real-time visualization, and complex modeling. This graphics card is a game-changer for industries such as graphic design, data science, video editing, and gaming. Technical Specifications The RTX A5000 is built on NVIDIA's latest GPU architecture and features 8192 CUDA cores. It boasts 24 GB of GDDR6 memory, a memory bandwidth of 768 GB/s, and a maximum power consumption of 230W. With a base clock speed of 1410 MHz and a boost clock speed of 1935 MHz, the RTX A5000 delivers exceptional performance and responsiveness. Applications and Use Cases Professional Graphics Design RTX A5000 empowers graphic designers, architects, and artists with its exceptional capabilities. With real-time rendering, complex modeling, and visualization capabilities, professionals can bring their creative visions to life with unparalleled speed and accuracy. The A5000 allows for seamless workflow integration and enhances productivity for professionals in the field of graphic design. Data Science and AI RTX A5000 is a game-changer for data scientists and AI researchers. Its high-performance GPU enables accelerated machine learning and data analysis, allowing for faster training and inference times. With its advanced GPU architecture and large memory capacity, the A5000 is capable of handling complex deep-learning models, neural networks, and simulations, making it an ideal choice for professionals in the field. Video Editing and Production For video editors and content creators, the RTX A5000 offers unparalleled rendering capabilities. With real-time editing, color grading, and special effects, professionals can achieve their creative visions with ease. The A5000's powerful GPU and ample memory capacity enable smooth playback and editing of high-resolution footage, providing a seamless editing experience. Installation and Optimization System Requirements Before installing the RTX A5000, it is important to ensure that your system meets the minimum requirements. These include a compatible motherboard with an available PCIe slot, a sufficient power supply, and the necessary cables for connectivity. It is recommended to check the official documentation provided by NVIDIA for the specific system requirements. Installing the RTX A5000 Installing the RTX A5000 is a straightforward process. Begin by shutting down your computer and disconnecting the power cable. Open the computer case and locate an available PCIe slot. Carefully insert the A5000 into the slot, ensuring it is aligned properly. Secure the graphics card using the screws provided. Finally, reconnect the power cable and any necessary cables for display connectivity. Driver Installation and Updates Once the RTX A5000 is physically installed, it is crucial to install the appropriate drivers to ensure optimal performance. Visit the official NVIDIA website and navigate to the drivers section. Use the search filters to find the drivers specifically designed for the RTX A5000 and your operating system. Download the latest driver version and follow the on-screen instructions to install it on your system. Performance Optimization To maximize the performance of your RTX A5000, consider the following optimization techniques: Overclocking: If you are comfortable with advanced settings, you can overclock the GPU to achieve higher clock speeds and performance. However, be cautious and ensure proper cooling to prevent overheating. Cooling: Proper cooling is essential to maintain optimal performance and prevent thermal throttling. Make sure your system has adequate airflow, clean any dust from fans and heatsinks, and consider using additional cooling solutions if necessary. Monitoring: Utilize monitoring tools to keep track of GPU temperature, clock speeds, and usage. This will help you identify any potential performance issues and take appropriate action. Frequently Asked Questions What is the difference between RTX A5000 and previous RTX models? The RTX A5000 brings several advancements over previous RTX models, including increased CUDA core count, higher memory capacity, and improved performance. These enhancements result in better rendering speeds, real-time visualization, and overall graphics processing capabilities. Can I use multiple RTX A5000 cards in parallel? Yes, the RTX A5000 supports multi-GPU configurations through NVIDIA's SLI technology. By installing multiple A5000 cards in your system and enabling SLI, you can harness the combined power of the GPUs for even greater performance in supported applications. Is the RTX A5000 compatible with my existing PC? Before purchasing the RTX A5000, ensure that your PC meets the requirements. Check for compatibility with your motherboard, power supply, and available PCIe slots. Additionally, verify that your system has the appropriate power connectors and sufficient power capacity to support the A5000. Does the RTX A5000 support ray tracing and DLSS? Yes, the RTX A5000 fully supports ray tracing and DLSS (Deep Learning Super Sampling). Ray tracing enables realistic lighting and reflections in real time, while DLSS enhances performance by using AI to upscale lower-resolution images to higher resolutions with minimal loss in quality. What software applications are optimized for RTX A5000? The RTX A5000 is optimized for various software applications used in graphic design, data science, video editing, and gaming. Some popular examples include Adobe Creative Suite, Autodesk Maya, Blender, TensorFlow, and Unreal Engine. NVIDIA regularly collaborates with software developers to optimize their applications for the RTX series. Can the RTX A5000 be used for cryptocurrency mining? While the RTX A5000 can technically be used for cryptocurrency mining, it is not the most efficient choice due to its higher price point and power consumption. GPUs specifically designed for mining, such as NVIDIA's CMP series, offer better performance and cost-effectiveness for mining purposes. How does the RTX A5000 compare to AMD's competing graphics cards? The RTX A5000 competes with AMD's professional graphics cards, such as the Radeon Pro series. While the specific comparison may vary depending on the models, the RTX A5000 generally offers superior performance, advanced ray tracing capabilities, and broader software optimization. However, it is recommended to compare specific models and their features to make an informed decision. What kind of warranty and support is provided with the RTX A5000? The RTX A5000 typically comes with a standard warranty provided by NVIDIA or the manufacturer. The duration and terms of the warranty may vary, so it is advisable to check the warranty information provided by the seller or NVIDIA's official website. What future developments can we expect from NVIDIA in the graphics card industry? NVIDIA is continuously pushing the boundaries of graphics card technology. In the future, we can expect further advancements in GPU architecture, increased performance, improved power efficiency, and enhanced features. NVIDIA is also likely to continue investing in technologies such as ray tracing, DLSS, and AI to provide even more realistic and immersive graphics experiences. Conclusion: The RTX A5000 is a powerful graphics card that offers exceptional performance and cutting-edge technology. With its advanced GPU architecture, high CUDA core count, and ample memory capacity, the A5000 revolutionizes industries such as graphic design, data science, video editing, and gaming. By understanding its features, applications, and proper installation and optimization techniques, users can unleash the full potential of the RTX A5000 and experience the next generation of graphics.

[jobrxiv]

PhD in biomedical data science and computational disease biology UMass Lowell, Department of Biology & Center of Biomedical and Health Research in Data Sciences Come join our lab at @UMLResearch using #datascience for discoveries in cancer and Alzheimer's. Lowell is in lovely greater #Boston See the full job description on jobRxiv: https://jobrxiv.org/job/umass-lowell-department-of-biology-center-of-biomedical-and-health-research-in-data-sciences-27778-phd-in-biomedical-data-science-and-computational-disease-biology/?feed_id=95253 #Bioinformatics_and_Computational_Biology #data_science #machine_learning #ScienceJobs #hiring #research