#Deep Data Analytics

[reciprocalgroup]

Why Choose a cloud migration company in UK?

Managing cloud-based data application transfers requires sophisticated implementation. Cloud migration company in UK delivers secure and efficient cloud transition solutions to their clients. Key benefits include:

The migration process becomes smooth through professionals who maintain business continuity.

Cloud migration company in UK lower the expense of maintaining physical servers as well as their associated costs.

Data safety and regulatory adherence to GD and PR, among other rules, stand essential for protecting confidential information.

[datascienceunicorn]

HT @dataelixir

[samvavlabs]

Data Analyst Roadmap for 2024!

Cracking the Data Analyst Roadmap for 2024! Kick off your journey by mastering and delving into Python for data manipulation magic, and dazzle stakeholders with insights using PowerBi or Tableau. Don't forget, that SQL proficiency and hands-on projects refine your skillset, but never overlook the importance of effective communication and problem-solving. Are you checking off these milestones on your path to success? 📌 For more details, visit our website: https://www.samvavlabs.com  . . . #DataAnalyst2024 #CareerGrowth #roadmap #DataAnalyst #samvavlabs #roadmap2024 #dataanalystroadmap #datavisualization

[theaifusion]

Hyperparameter tuning in machine learning

The performance of a machine learning model in the dynamic world of artificial intelligence is crucial, we have various algorithms for finding a solution to a business problem. Some algorithms like linear regression , logistic regression have parameters whose values are fixed so we have to use those models without any modifications for training a model but there are some algorithms out there where the values of parameters are not fixed.

Here's a complete guide to Hyperparameter tuning in machine learning in Python!

#datascience #dataanalytics #dataanalysis #statistics #machinelearning #python #deeplearning #supervisedlearning #unsupervisedlearning

[strugglinggranola]

What do you guys do?? Super interested in this poll.

Yes there's a typo in the first option but I am not redoing the whole thing

[krstseo]

Artificial Intelligence is revolutionizing industries, creating vast career opportunities. At KRCT, we equip students with essential AI skills like machine learning, deep learning, and data analytics.

[reciprocalgroup]

Data protection stands as an essential requirement because organizations transfer their information to cloud environments. The process of Secure Data Erasure destroys all sensitive data on the old system, which makes it safe to discard or repurpose.

This process:

1. Security Breaches Are Blocked Because Obsolete Data Remains Out of Unauthorized Reach.

2. All data protection standards established by industries must be satisfied.

3. A protected business reputation will help organizations avoid financial risks alongside potential legal penalties.

4. The reuse of IT assets becomes possible without creating safety risks through this approach.

5. To safeguard privacy and data authenticity, organizations need standard data elimination processes for secure system clearance.

[blessedmediaa]

Certified Digital Marketers in the UK

Top 5 Certified Digital Marketers in the UK

Introduction

Certified Digital Marketers in the UK, staying ahead of the competition requires expertise, innovation, and a deep understanding of the latest trends. Businesses across the UK are increasingly turning to certified digital marketing professionals to achieve online success.

But with so many professionals offering digital marketing services, how do you identify the best? In this blog, we introduce the top 5 certified digital marketers in the UK, each known for their exceptional skills and proven track record. Whether you’re a startup, an established brand, or an entrepreneur, working with the right expert can be a game-changer for your business.

Why Work with a Certified Digital Marketer in the UK?

Digital marketing is more than just running ads or posting content on social media. It involves strategic planning, data analysis, and the ability to adapt to ever-changing algorithms. Here’s why hiring a certified digital marketer in the UK is crucial:

Expertise in SEO & PPC – Improve rankings and get more traffic.

Content & Social Media Mastery – Engage and grow your audience.

Data-Driven Decision Making – Maximize ROI with analytics.

Updated Knowledge – Stay ahead with the latest digital trends.

Now, let’s explore the top digital marketing experts in the UK who can help take your business to the next level.

Top 5 Certified Digital Marketers in the UK

1. Neil Patel – The Global SEO Authority Certified Digital Marketers in the UK

Expertise: SEO, Content Marketing, Growth Hacking Neil Patel is a globally recognized digital marketing expert with deep expertise in SEO and content marketing. His strategies have helped businesses across the UK and beyond achieve remarkable online success.

Why Choose Neil Patel?

Proven strategies for SEO growth and traffic increase.

Offers free tools for SEO and marketing analysis.

Works with leading brands worldwide.

If you’re looking for top-rated digital marketers in the UK specializing in organic growth, Neil Patel is a name you can trust.

2. Andrew Davis – The Content Marketing Specialist Certified Digital Marketers in the UK

Expertise: Storytelling, Branding, Digital Strategy Andrew Davis is a well-known figure in the digital marketing space, focusing on content marketing and brand storytelling. He has worked with businesses across the UK to enhance their online engagement and brand authority.

Why Choose Andrew Davis?

Helps businesses craft powerful brand stories.

Expert in video content marketing.

One of the leading digital marketing experts in the UK.

If content is the backbone of your digital strategy, Andrew Davis can help you create compelling narratives that connect with your audience.

3. Marie Page – The Social Media Growth Expert

Expertise: Social Media Marketing, Facebook Ads, Engagement Strategies Marie Page is a certified digital marketing professional in the UK specializing in social media growth and paid advertising. She has helped countless brands scale their online presence through strategic campaigns.

Why Choose Marie Page?

Expertise in Facebook and Instagram Ads.

Helps businesses build strong online communities.

Recognized as one of the best online marketers in the UK.

If you’re looking to grow your brand’s social media presence, Marie Page’s strategies are highly effective.

4. Luke Brynley-Jones – The Paid Advertising & Strategy Expert

Expertise: PPC, LinkedIn Marketing, Lead Generation Luke Brynley-Jones is a top digital marketing specialist in the UK with expertise in paid advertising and lead generation. He has helped businesses increase their ROI through data-driven ad strategies.

Why Choose Luke Brynley-Jones?

Specializes in LinkedIn marketing & lead generation.

Helps businesses optimize ad spend for maximum ROI.

Known as a certified marketing professional in the UK.

For businesses focused on B2B marketing and paid ad strategies, Luke Brynley-Jones is a top choice.

5. Gavin Bell – The Facebook Advertising Guru

Expertise: Facebook Ads, Sales Funnels, Conversion Optimization Gavin Bell is widely regarded as one of the best digital marketers in the UK, particularly in the field of Facebook advertising. He has helped businesses improve their ad performance and maximize conversions.

Why Choose Gavin Bell?

Expert in high-converting Facebook ad campaigns.

Helps brands reduce ad costs while increasing leads.

Recognized as one of the top-rated digital marketers in the UK.

If paid social media advertising is your priority, Gavin Bell’s expertise can help you achieve the best results.

How to Choose the Right Digital Marketer for Your Business

Finding the right certified digital marketer in the UK depends on your business goals. Here’s how to choose the best one for you:

1. Identify Your Goals

Do you need help with SEO, social media marketing, or paid advertising? Define your objectives before selecting a marketer.

2. Check Certifications & Experience

A certified digital marketing professional in the UK should have credentials from recognized institutions like Google, HubSpot, or Facebook.

3. Review Case Studies & Testimonials

Look at their past work and success stories. This helps you understand their expertise and effectiveness.

4. Evaluate Their Strategy & Approach

Each marketer has a unique method. Ensure their approach aligns with your brand’s vision and budget.

5. Compare Pricing & ROI

While hiring an expert is an investment, consider the return on investment (ROI) they can deliver.

Final Thoughts

The digital marketing industry in the UK is thriving, and having the right expert by your side can elevate your brand’s success. Whether you need an SEO specialist, social media marketer, or advertising strategist, these top 5 certified digital marketers in the UK are among the best in the industry.

At BlessedMediaa, we understand the importance of expert-driven marketing solutions. If you’re looking for a trusted digital marketing agency in the UK, we’re here to help.

🚀 Want to grow your business online? Contact BlessedMediaa today for customized digital marketing strategies!

Key Takeaways

✅ Working with a certified digital marketer in the UK ensures expertise in SEO, PPC, content marketing, and social media. ✅ Neil Patel, Andrew Davis, Marie Page, Luke Brynley-Jones, and Gavin Bell are among the top digital marketing specialists in the UK. ✅ Choose a marketer based on your business goals, experience, and ROI potential. ✅ Digital marketing success depends on expert-driven strategies and continuous optimization.

🔹 Need expert digital marketing services? Contact BlessedMediaa today!

If you found this article informative, be sure to share your thoughts or questions in the comments section below. Stay tuned for more insights on groundbreaking technologies, and don’t forget to subscribe for the latest updates.

Thank you for reading!

[samphilip]

Best Data Science Course in Kerala – Futurix Academy

Futurix Academy offers the best data science course in Kerala, providing hands-on training in AI, machine learning, and Python, with job placement support.

[greencloakedfae]

watched my first lecture of the semester only to realise the majority of my cohort for the unit are masters students,,, man im just a little guy wdym im in a masters unit?? are my other units going to be like this??

[praveennareshit]

🚀 Dive into Advanced Data Science with Python!

Ready to level up your data science skills? Our latest blog explores Machine Learning, Deep Learning, and Data Visualization using Python. Perfect for those looking to master data science!

🔗

#DataScience #Python #MachineLearning #DeepLearning #AI #TechLearning #Coding #DataVisualization #AdvancedPython #TechBlog

[jcmarchi]

Beyond Security: How AI-Based Video Analytics Are Enhancing Modern Business Operations

New Post has been published on https://thedigitalinsider.com/beyond-security-how-ai-based-video-analytics-are-enhancing-modern-business-operations/

Beyond Security: How AI-Based Video Analytics Are Enhancing Modern Business Operations

AI-based solutions are becoming increasingly common, but those in the security industry have been leveraging AI for years—they’ve just been using the word “analytics.”  As businesses seek new ways to use AI to create a competitive advantage, many are beginning to recognize that video devices represent an increasingly valuable data source—one that can generate actionable business intelligence insights. As processing power improves and chipsets become more advanced, modern IP cameras and other security devices can support AI-powered analytics capabilities that can do far more than identify trespassers and shoplifters.

Many businesses are already leveraging AI-based analytics to improve efficiency and productivity, reduce liability, and better understand their customers. Video analytics can help enterprises identify ways to improve employee productivity and staffing efficiency, streamline the layout of stores, factories, and warehouses, identify in-demand products and services, detect malfunctioning or poorly maintained equipment before it breaks, and more. These new analytics capabilities are being designed with business intelligence and operational efficiency in mind—and they are increasingly accessible to organizations of all sizes.

The Growing Accessibility of AI in Video Surveillance

Analytics has always had clear applications in the security industry, and the evolution from basic intelligence and video motion detection to more advanced object analytics and deep learning has made it possible for modern analytics to identify suspicious or criminal behavior or to detect suspicious sounds like breaking glass, gunshots, or cries for help. Today’s analytics can detect these events in real time, alerting security teams immediately and dramatically reducing response times. The emergence of AI has allowed security teams to be significantly more proactive, allowing them to make quick decisions based on accurate, real-time information. Not long ago, only the most advanced surveillance devices were powerful enough to run the AI-based analytics needed to enable those capabilities—but today, the landscape has changed.

The advent of deep learning processing units (DLPUs) has significantly enhanced the processing power of surveillance devices, allowing them to run advanced analytics at the network edge. Just a few years ago, the bandwidth and storage required to record, upload, and analyze thousands of hours of video could be prohibitively expensive. Today, that’s no longer the case: modern devices no longer need to send full video recordings to the cloud—only the metadata necessary for classification and analysis. As a result, the bandwidth, storage, and hardware footprint required to take advantage of AI-based analytics capabilities have all dramatically decreased—significantly reducing operational costs and making the technology accessible to businesses of all sizes, whether they employ a network of three cameras or three thousand.

As a result, the range of potential customers has expanded significantly—and those customers aren’t just looking for security applications, but business ones as well. Since DLPUs are effectively standard on modern surveillance devices, customers are increasingly looking to leverage those capabilities to gain a competitive advantage in addition to protecting their locations. The democratization of AI in the security industry has led to a significant expansion of use cases as developers look to satisfy businesses turning to video analytics to address a wider range of security and non-security challenges.

How Organizations Are Using AI to Enhance Their Operations

It’s important to emphasize that part of what makes the emergence of more business-focused use cases for AI-based video analytics notable is the fact that most businesses are already familiar with the basic technology. For example, retailers already using video analytics to protect their stores from shoplifters will be delighted to learn that they can use similar capabilities to monitor customers entering and leaving the store, identify high- and low-traffic periods, and use that data to adjust their staffing needs accordingly. They can use video analytics to alert employees when a lengthy queue is forming, when an empty shelf needs to be restocked, or if the layout of the store is causing unnecessary congestion. By embracing business-focused analytics alongside security-focused ones, retailers can improve staffing efficiency, create more effective store layouts, and enhance the customer experience.

Of course, retailers are just the tip of the iceberg. Businesses in nearly every industry can benefit from modern video analytics use cases. Manufacturers, for example, can monitor factory floors to identify inefficiencies and choke points. They can use thermal cameras to detect overheating machinery, allowing maintenance personnel to address problems before they can cause significant damage. In many cases, they can even monitor assembly lines for defective or poorly made products, providing an additional layer of quality assurance protection. Some devices may even be able to monitor for chemical leaks, overheating equipment, smoke, and other signs of danger, saving organizations from potentially dangerous (and costly) incidents. This has clear applications in industries ranging from manufacturing and healthcare to housing and critical infrastructure.

The ability to generate insights and improve operations extends beyond traditional businesses and into areas like healthcare. Hospitals and healthcare providers are now leveraging analytics to engage in virtual patient monitoring, allowing them to have eyes on their patients on a 24-hour basis. Using a combination of video and audio analytics, they can automatically detect signs of distress such as coughing, labored breathing, and cries of pain. They can also generate an alert if a high-risk patient attempts to leave their bed or exit the room, allowing caregivers or security teams to respond immediately. Not only does this improve patient outcomes, but it can also significantly reduce liability on slip/trip/fall cases. Similar technology can also be used to improve compliance outcomes, ensuring emergency exits remain clear and avoiding other potentially finable offenses in healthcare and other industries. The opportunities to reduce costs and improve outcomes are expanding every day.

Maximizing AI in the Present and Future

The shift toward leveraging surveillance devices for business intelligence and operations purposes has happened quickly, driven by the fact that most organizations are already familiar with the equipment they need to take advantage. And with businesses of all sizes—and in nearly every industry—increasingly turning to video analytics to enhance both their security capabilities and their business operations, the development of new, AI-based analytics is unlikely to slow anytime soon.

Best of all, the market is still growing. Even today, roughly 80% of security budgets are spent on human labor, including monitoring, guarding, and maintenance capabilities. As AI-based video analytics become increasingly widespread, that will change quickly—and businesses will be able to streamline their business intelligence and operations capabilities in a similar manner. As AI development continues and new, business-focused use cases emerge, organizations should ensure they are positioned to get the most out of analytics—both now and into the future.

[uegub]

Exploring the Branches of Artificial Intelligence: A Deep Dive into AI’s Core Areas

AI has turned into a change agent in the current world, manifestations being in industries like healthcare, finance, retail, and transportation. AI is not just one technology—AI is a collection of technologies from various disciplines that cooperate in creating intelligent systems that learn, reason, and decide.

To truly understand AI, it is essential to venture into its subfields. Each field is essential to the operation and evolution of AI. This blog will help unfold the major branches of AI and their real-world applications.

1. Machine Learning (ML)

Machine learning is one of the most popularly known AI branches. It allows machines to learn from data and predict unknown results or make decisions without being explicitly programmed.

Key Aspects of Machine Learning:

Supervised Learning – Machines learn from labeled data in which ancient examples are provided to them for prediction purposes.

Unsupervised Learning – Machines try to find the underlying patterns in the data without having any pre-existing labels.

Reinforcement Learning – Machines learn by trying actions and receiving rewards and are penalized if they take the wrong action.

Real-World Applications:

Fraud detection in banking

Product recommendations in eCommerce

Speech recognition in virtual assistants

2. Natural Language Processing (NLP)

Natural Language Processing enables AI to understand, interpret, and produce human languages. It essentially combines computational linguistics with machine learning to allow communication between a human and a machine.

Key Aspects of NLP:

Speech Recognition – Converting spoken words into text.

Sentiment Analysis – Understanding emotions behind text.

Machine translation – Automatic translation between two languages.

Real-World Applications:

Chatbots and virtual assistants

Automated email filtering

Language translation tools

3.Computer Vision

Via computer vision technologies, AI is capable of interpreting and analyzing visual information from the world, granting machines their capability to "see" and understand images or video.

Key Aspects of computer vision:

Object Detection – In which objects are detected in the image as per the questions that need to be targeted.

Facial Recognition – To recognize and validate a human face.

Image Classification – For categorizing images based on their content.

Real-World Applications:

Security surveillance systems

Self-driven cars

Diagnosis of images in medicine

4. Expert Systems

Expert Systems are models that mimic human behavior in solving problems in a given domain. They rely on a knowledge base and inference engine to perform complex problem-solving.

Key Aspects of Expert Systems:

Knowledge Base – The store of facts and rules.

Inference Engine – Rationally solves a problem.

Real-World Applications:

Systems for medical diagnosis

Risk assessment in finance

Automation in technical support

5. Robotics

Robotics is where AI and mechanical engineering intermingle to create machines that can perform tasks that can otherwise be performed by humans.

Key Aspects of Robotics:

Autonomous Robots – Machines that can operate independently.

Industrial Robots – Used in manufacturing for repetitive tasks.

Humanoid Robots – Acting like humans.

Real-World Applications:

Factory assembly lines

AI prosthetics

Space exploration robots

6. Fuzzy logic

With fuzzy logic, AI can handle uncertainty in instances and make decisions based on incomplete or inaccurate information.

Key Aspects of Fuzzy Logic:

Mimicking human decision-making

Dealing with truth degrees rather than binary outcomes

Real-World Applications:

Temperature controlling systems

AI braking systems for cars

Medical diagnosing systems

7. Neural Networks & Deeplearning

Neural Networks are AI models based on the working of the human brain. Deep Learning involves a subset of neural networks that deal with complex patterning through many layers of artificial neurons.

Key Aspects of Neural Networks:

Artificial Neurons-An artificial neuron is modeled after biological neurons in the brain.

Multi-Layer Processing-This helps in deep learning models to identify complex patterns.

Real-World Applications:

Voice assistants such as Siri and Alexa

Images are recognized on social media platforms

Market predictions

The Growth of AI Impact in India

Artificial intelligence is being adopted fast across the various segments of the country be it the government or private enterprises. Also, AI powered applications are enhanced to improve healthcare accessibility, bank security, or productivity in crops and e-commerce.

With investment hurries and education in AI research, India is emerging as a leader nationally in AI development. Thus, such growing demand increases the need for professionals skilled in AI, data science, and analytics. Cities like Thane provide fabulous platforms for aspiring AI professionals to make their mark. Joining a Data Analytics training institute in thane can be very inspirational to make hands-on experience and get to know about the field.

Conclusion

The world of artificial intelligence is a broad and continually changing one with many sub-disciplines contributing progress toward its goals. And whether it's due to machine or self-learning, robotics, natural language processing, or computer vision, the future of artificial intelligence will ultimately depend on all these areas.

As AI continues to expand and grow in India, one must constantly upskill and stay abreast of the industry for professionals wishing to carve a niche for themselves in this space. The right foundation to kickstart a thriving career in AI and Data Science can be achieved by taking up the best data science courses in thane. With the right knowledge and skills in this context, anyone would join the AI revolution and create an impact for themselves in the industry.

[reciprocalgroup]

Leveraging Deep Data Analytics to Optimize NAS Migrations

Moving the data from one storage platform to another turns out to be a very big task generally: for NAS migrations, it seems worse when a large volume of data is being managed. This is where deep data analytics come into play because analytics has to know the data to ease and expedite the whole process.

So, if you are searching for a trusted, prestigious cloud migration company in UK like Reciprocal-it's time to see how the inside stuff works!

Why Shouldn't NAS Migration Be Relevant in Today's Digital World?

Every day a business grows, effectively, its demand for better storage solutions grows. Such solutions include NAS-based storage called Network Attached Storage, and this enables organizations to store and quickly access data for their needs. However, moving everything into a new NAS system is not that easy.

Here are some pointers regarding why NAS migrations are necessary:

Increased Efficiency: Updated storage makes access to files faster.

Enhanced Security:Most of these new systems provide better protection for data.

Scalability: Easily manage growing data demands.

What Deep Data Analytic Has to Offer in Terms of Improving NAS Migration

But what is deep data analytics, and how does it do in terms of NAS migration? Quite simply, it means that deep data analytic will take your data and analyze it for patterns and insights-using almost a deep understanding of what you'll be dealing with even before you kick off the migration.

Here's how it helps:

Organizing Your Data: Data analytics tell whether specific files are essential or obsolete.

Avoid Downtime: Advanced planning prevents interruption during data migration.

Early Risk Detection: Analytics discovers probable issues so that they can be resolved before they happen.

Analytics can divide past sales data from current sales data when you're moving data for a retail business. Only, therefore, all relevant data get migrated, saving both space and time.

How Reciprocal is Different?

Being such a popular name in global data management, Reciprocal does not only "transfer" data but also completely optimizes the process through various tools such as deep data analytics. Here are the reasons why Reciprocal is top on the list:

Decades of experience handling highly complex moves.

A dedicated team to make sure lost data is never a possibility.

Affordable and reliable services tailor-made for the UK market.

Whether it is for upgrading storage or shifting to the cloud, Reciprocal will be there for a hassle-free experience from beginning to end.

Stress-Free Kick start of NAS Migration

To be good planners and accurate facilitators of NAS migrations is the surest way to ensure that everything flows without a hitch, and deep data analytics makes it possible to arrive at smarter conclusions, reduce risks, and reduce the time taken to get things done. If it is a reputable cloud migration company you are looking for in the UK, look no further than Reciprocal.

Prepared to migrate your data? Contact Reciprocal today and take the first step toward smarter data management!

[datascienceunicorn]

HT @dataelixir