Top 5 Useful Data Science Blogs You Should Read in 2022


Knowing where to begin might be a bit intimidating because there are so many beautiful materials available in data science. For everyone, from data science specialists to total beginners, this post will provide a list of some of the most helpful blogs and websites. This collection of data science blogs includes websites to stay up to date on the latest news, trends, and expert perspectives, in addition to guidance and learning materials. 


  • Data Science Central

As its name implies, Data Science Central is a central online resource for practically anything about data science and big data. The site covers various data science subjects, including analytics, technologies, tools, data visualization, code, and employment prospects. Key topics are discussed, and industry professionals offer their perspectives. The website is often updated, receiving about two blog posts daily from contributors. For inquiries or discussions, a community forum is also accessible.


  • SmartData Collective

A community website called SmartData Collective focuses on data management and business intelligence trends. It offers data science insights through contributions from industry professionals, similar to Data Science Central. SmartData Collective examines the broader subject and how data science might converge with business, in contrast to Data Science Central, which focuses only on data science as a whole.


  • What's The Big Data?

It focuses on the effects of big data's transformation into today's digital behemoth and adopts a novel approach to data science. Gil Press, who founded the blog, has extensive experience with big data and data science. He formerly worked in data research and is currently a consultant. In his blog, press examines how big data affects every aspect of our life, from technology to business to government and politics. He offers news and opinion sources on the subject of data.


  • insideBIGDATA

The machine learning component of data science is the main emphasis of InsideBIGDATA. Artificial intelligence, machine learning, deep learning, and big data in IT and business are all covered. While news and Editor's Choice pieces highlight significant developments in the sector, guest features provide insight into viewpoints from the industry. Each item is classified correctly by topic to help readers focus on a particular subject. The blog also has various resources for news, employment, research papers, and other things. This is a valuable resource for anybody interested in staying current with machine learning.

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  • No Free Hunch

This is the blog for Kaggle. This site stands out from the competition since it provides news, lessons, and an inside peek at the thoughts of data scientists. The data science website Kaggle provides projects and contests where data scientists are challenged to create the best models given highlighted data sets. For a reward, corporations publish data problems, which data specialists can enter to solve. Experiments are designed to be distinctive, fascinating, and full of perspectives from which to learn through the use of crowdsourcing.


More than 200 contests have been held, including well-known ones like enhancing Microsoft Kinect gesture detection, enhancing the Higgs boson hunt at CERN, and the infamous $3 million Heritage Health reward for improving forecasts of which patients would need hospitalization. The main blog of Kaggle delves further into these contests, featuring interviews with the winners to talk about how they approached data science topics. The site also includes news and tutorials for data science lovers of all skill levels.

Conclusion

I hope this blog will be helpful to you. You can reach these websites to understand the basics of Data Science. If you have any questions, where to start, how can I get the deep knowledge and practices on data science? I suggest you to the best data science course in Bangalore. It is an institute that can help you with knowledge-gaining, live projects, and placement assistance.


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