The Data Science field is growing steadily, allowing businesses to become more data-driven with better insights and knowledge. Whether you’re a data science professional or a student, check out these Top 10 Data Science Blogs, which are frequently updated and with the highest number of followers.
Never miss out on any data science developments.
- Run By: Mark Van Rijmenam
- Description: Datafloq is run by the author of “Think Bigger: Developing a Successful Big Data Strategy for Your Business,” Mark Van Rijmenam, and is a great resource for big data in data sciences. The blog focuses on the business aspects of big data and how to get organizations to work with data science. It also contains information on tech-trending topics such as blockchain and artificial intelligence.
- While Datafloq mainly acts as a resource with articles and insights, it also seeks to connect professionals through job posts, vendors, events, and training.
- Run By: Starbridge Partners
- Description: Data Science Report, speaking of in-depth resources, is curating resources from all sorts of formats to get data science into your brain. To assist any level of data scientist, the site collects free courses, articles, books, videos, and TED talks. You can filter the topics to find select information about how to get started, salary bargaining, interviews, technology, social media, marketing, and just “simply interesting” topics. It’s a resource hub for data scientists at any point in their career and anyone with a mind to learn about the data.
- Run By: Data Meets Media.
- Description: Data Meets Media is a blog by Pio Calderon, who takes his two main interests and combines them in interesting ways, using data to analyze anything from the lyrics of the discography of ‘The Killers’ to the plot of Oscar-winning films. He also provides separate posts on the topics where you can find pieces about cryptocurrencies, AI, data science, film reviews, and more. The blog is just over a year old and most people already have plenty to interest.
- Run By: Tal Galili.
- Description: Writing about 750 contributors, if you hadn’t guessed, R. R-Bloggers is designed to encourage bloggers to empower R users. There’s a strong community here and if you’re going to get involved in R or you’re already ‘R’ then there’s something here for you.
- Run By: Vincent Granville.
- Data Science Central does just about everything related to data science and big data exactly what its name suggests and acts as an online resource hub for. The site covers a wide range of topics related to data science in terms of analytics, technology, tools, data visualization, code, and employment opportunities. Experts in the industry contribute to the discussion and insights on key topics.
- The site frequently updates, almost two blog posts a day from contributing writers, and it also offers a forum for discussion or questions from the community.
- Run By: Kaggle
- Description: This blog is slightly different from the others, offering a direct look into data scientists’ minds, as well as tutorials and news. This is the blog of the Kaggle data science website, which hosts data science projects and competitions that challenge data scientists to produce the best models for the data sets featured. Organizations can post a prize amount of their data problems and data professionals will enter to solve them. Crowdsourcing ensures the experiments are innovative and interesting — and offers plenty of insights to learn from.
- More than 200 competitions have been run, including high-profile ones such as enhancing Microsoft Kinect gesture recognition, improving CERN’s search for the Higgs boson, and the notorious Heritage Health $3 million awards to improve the predictions patients will need to visit hospitals. The official blog of Kaggle goes deeper into these competitions, offering interviews with winners to discuss their approach to solving the problems of data science. The blog also features news and tutorials for data science enthusiasts of all levels.
- Run By: KDnuggets
- Description: Here are some of the most interesting and regularly updated blogs in alphabetical order about Analytics, Big Data, Data Science, Data Mining, and Machine Learning.
- Run By: Rich Brueckner
- Descriptions: InsideBIGDATA focuses on the data science facet of machine learning. In IT and business, it covers big data, machine learning, deep learning, and artificial intelligence; Guest features provide insight into the perspectives of the industry, while news and Editor’s Choice articles highlight significant goings-on in the field. All the articles on any particular topic are neatly categorized to zero in by subject. The blog also maintains a network of events, jobs, and research papers, and more resources. This is a resource for anyone wishing to keep up with machine learning.
- Run By: Social Media Today
- Description: SmartData Collective is a community site that focuses on business intelligence and data management trends. It also features insights into data science, similar to Data Science Central, through contributions from industry experts. Where Data Science Central directly focuses on data science as a whole, SmartData Collective is looking into the broader field and how data science can intersect with business.
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