Best Data Science, Machine Learning, and AI Blogs
Data science, machine learning, and artificial intelligence are frequently used interchangeably, but there are significant distinctions between these three concepts:
- Artificial intelligence (AI) is the field of building machines that can think and make decisions using human-like intelligence. This is made possible through machine learning.
- Machine learning (ML) is a subfield of AI that gives computers the ability to automatically learn new things and improve performance based on their experiences. ML is mainly divided into supervised learning, unsupervised learning, and reinforcement learning.
- Data science is a field that uses various technologies and methodologies to analyze massive amounts of data in order to discover patterns and make business decisions. Data science uses ML to uncover trends and automate data analysis. The data used may originate from multiple sources and be provided in a variety of formats.
If you’re a data scientist or developer looking to deepen your knowledge of these topics, you may be unsure where to start. Blogs by industry insiders are a good solution. You can gain insights on what it’s like to work with data or machines in these fields and connect with others who share your interests, as well as find solutions to issues in your own projects.
This article offers a guide to some of the best data science blogs available. The sites listed here are appropriate for both seasoned data science experts and complete novices, so you’ll find something to help you no matter where you are in your career.
1. Data Science Central
Data Science Central is the most comprehensive online resource for data practitioners. It covers a wide range of topics, including statistics and analytics, data science, ML, AI, the Internet of Things (IoT), and robotic process automation. Its community experience consists of a comprehensive editorial platform, social engagement, assistance through forum-based channels, and the most recent information on technological advancements, professional development opportunities, and industry trends.
- Writing quality: 4
- Consistency: 5
- Longevity: 5
- Technical depth: 3
- Broad usefulness: 5
Overall Score: 4.4
2. Towards Data Science
Towards Data Science is a corporation registered in Canada and founded in October 2016. Using Medium, it provides a platform for thousands of people to exchange ideas and to expand their understanding of data science, ML, visualization, programming, and other related topics. It has more than 641,000 followers. The quality of the writing is high, and the technical depth is above average.
- Writing quality: 5
- Consistency: 5
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 5
Overall Score: 5.0
3. KDnuggets
KDnuggets covers business analytics, big data, data mining, and data science. Gregory Piatetsky-Shapiro, an expert in databases and knowledge discovery, founded it in 1997. It covers a variety of topics including artificial intelligence, data science, ML, career advice, data engineering, and SQL. The writing is easy to understand and has been thoroughly researched. You can look forward to receiving fresh articles every week. Since March 2021, KDnuggets has received over one million one-of-a-kind monthly visitors, and the website currently has over 360,000 subscribers who receive its content via email, Twitter, LinkedIn, and Facebook.
- Writing quality: 4
- Consistency: 5
- Longevity: 4
- Technical depth: 5
- Broad usefulness: 5
Overall Score: 4.6
4. Machine Learning Mastery
Machine Learning Mastery is an online community that equips developers with a variety of resources to help them become ML experts. It was created by Jason Brownlee, who holds postgraduate degrees in artificial intelligence. His website has been running since 2013, and it features content on subjects ranging from linear algebra to deep learning. The writing is well organized, making the content easier to read.
- Writing quality: 5
- Consistency: 5
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 5
Overall Score: 5.0
5. HackerNoon
In the world of technology blogs, HackerNoon is among the most popular options for gaining knowledge about coding, blockchain, AI, and startup companies. The free platform run by David and Linh Dao Smooke features more than 15,000 contributors from all over the world, who publish their stories for more than 3,000,000 readers each month. HackerNoon, established in 2016, is the best platform to use if you’re interested in what’s popular or what’s new in data science and artificial intelligence. Its in-depth technical content explains new tools that you can apply to your data science projects.
- Writing quality: 5
- Consistency: 4
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 5
Overall Score: 4.8
6. Neptune
Neptune’s blog offers a large number of in-depth articles that can help data scientists and ML engineers to keep track of their projects and collaborate with one another. The majority of the content is centered on deploying ML models, utilizing a variety of tools for ML projects, and performing ML operations (MLOps). Expect new articles every week.
- Writing quality: 5
- Consistency: 4
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 3
Overall Score: 4.4
7. OpenAI
OpenAI is one of the most prominent AI research labs in the world, with the goal of ensuring that AI is used for the benefit of all of humanity. Elon Musk was one of the cofounders of the company when it was established in 2015. The blog offers high-quality writing that’s easy to understand. Most articles focus on the company’s AI research. Expect one or two new articles a month.
- Writing quality: 5
- Consistency: 3
- Longevity: 4
- Technical depth: 3
- Broad usefulness: 4
Overall Score: 3.8
8. Analytics Vidhya
Analytics Vidhya is an online learning platform for all aspects of data analytics, including big data, predictive modeling techniques, and applications of analytics in business. Since its inception in 2013, it has received 2.5 million monthly visitors seeking to become data science professionals. The blog, updated daily, focuses on data science, ML, AI, and data visualization tools. It provides high-quality articles written by industry professionals for a practical learning experience.
- Writing quality: 5
- Consistency: 5
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 5
Overall Score: 5.0
9. Google AI Blog
On the Google AI Blog, you can find the most recent information provided by researchers and engineers at Google. ML and artificial intelligence play an essential role in the operation of Google technology, from the search algorithms that have revolutionized the way people look for information online to the way in which Google Maps has changed the way people get to their destinations. You will learn how Google is applying AI and ML technologies to its products in order to address real-world problems. Several new articles are posted a week.
- Writing quality: 5
- Consistency: 4
- Longevity: 4
- Technical depth: 5
- Broad usefulness: 4
Overall Score: 4.4
10. Paperspace
Paperspace is a cloud-based platform that offers GPU computing capacity to tens of thousands of individuals, startups, and corporations in order to accelerate their AI applications. Its blog is dedicated to ML, natural language processing, computer vision, deep learning, and 3D graphics. The majority of articles are project-based and well organized, enabling readers to apply their knowledge in the real world. Expect new articles each week.
- Writing quality: 5
- Consistency: 4
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 4
Overall Score: 4.6
11. Meta AI Blog
Meta AI is an academic research laboratory whose primary mission is to provide new knowledge to the AI field. The Applied Machine Learning (AML) team at Facebook, meanwhile, focuses on the real-world applications of the company’s products. You can read more about them on the Meta AI Blog, which focuses on the development of data sets and research projects mainly in natural language processing (NLP) technologies such as speech technology and machine translation. This is the right blog for those who are interested in NLP research or who want to become an NLP engineer. A few new articles are posted each month.
- Writing quality: 5
- Consistency: 4
- Longevity: 3
- Technical depth: 4
- Broad usefulness: 4
Overall Score: 4.0
12. DataRobot
DataRobot is the market leader in the AI cloud, with the goal of providing a unified platform for all users. DataRobot, which was founded in 2012, focuses its blog on AI, ML, and data science developments. The majority of the articles are informative and provide guidelines for implementing AI in various industries, including health, security, and transportation. This is an excellent blog for business leaders interested in learning more about AI and how it can add value to their organizations. Expect two to three new articles a month.
- Writing quality: 5
- Consistency: 4
- Longevity: 4
- Technical depth: 4
- Broad usefulness: 5
Overall Score: 4.4
13. Chatbots Life
Chatbots Life is a leading informational resource on chatbots and conversational AI. They publish the most recent news about AI, NLP, educational tools, and open source packages. If you are new to AI and want to learn how to construct your own chatbots, this is the blog for you. New articles are posted weekly. The quality of their writing is high, but don’t expect to find many in-depth technical guides.
- Writing quality: 5
- Consistency: 5
- Longevity: 4
- Technical depth: 4
- Broad usefulness: 3
Overall Score: 4.2
14. TensorFlow Blog
Google’s TensorFlow is an end-to-end open source library designed for deep learning applications that also supports traditional ML. TensorFlow offers a collection of workflows for developing and training models with Python or JavaScript and deploying them to the cloud. The TensorFlow Blog contains regular news and tutorials from the TensorFlow team and the community, including articles on Python, TensorFlow.js, TensorFlow Lite, and TensorFlow Extended. Most of the articles provide technical guides to accomplish a particular task. Several new articles are posted a month.
- Writing quality: 5
- Consistency: 4
- Longevity: 4
- Technical depth: 4
- Broad usefulness: 5
Overall Score: 4.4
15. Datafloq
Datafloq is a learning platform that focuses on topics such as blockchain, big data, cloud computing, and AI. Its articles offer fresh perspectives and opportunities to advance innovative thinking. The platform provides useful information on emerging technologies, such as trends, best practices, vendors, events, and job opportunities. It’s a useful source for business executives to learn about new technologies and utilize those technologies within their own businesses. New articles are posted regularly each month.
- Writing quality: 4
- Consistency: 4
- Longevity: 4
- Technical depth: 3
- Broad usefulness: 4
Overall Score: 3.8
16. freeCodeCamp
freeCodeCamp is a nonprofit organization with online publications, an interactive learning web platform, an online community forum, and chat rooms to help people learn web development, AI, data science, and ML. Its blog offers educational and how-to articles for learning the fundamentals of these technologies. It’s ideal for novices. freeCodeCamp publishes a few articles relating to AI, data science, and ML every month.
- Writing quality: 5
- Consistency: 4
- Longevity: 4
- Technical depth: 4
- Broad usefulness: 4
Overall Score: 4.2
17. Hugging Face
Hugging Face is a community and data science platform that enables data scientists, researchers, and ML engineers to collaborate on open source projects. It also offers users the tools needed to build, train, and deploy ML models. The articles in its blog cover subjects including AI, NLP, open source, audio, computer vision, and reinforcement learning. This is the site you should use to expand your knowledge of NLP and text data sets. Most topics are easy to understand and have been thoroughly researched. The in-depth articles demonstrate how to apply your new skills to your project.
- Writing quality: 5
- Consistency: 5
- Longevity: 5
- Technical depth: 5
- Broad usefulness: 4
Overall Score: 4.8
18. DataCamp
DataCamp is a self-paced online learning tool that helps students develop data skills. DataCamp classes cover non-programming fundamentals such as BI tools in addition to data science and ML. The site was founded in 2013 with the goal of democratizing data skills for everyone. On the blog, the instructive and how-to articles cover AI, data literacy, ML, data science, data analysis, data engineering, and big data. New articles are published every week.
- Writing quality: 5
- Consistency: 5
- Longevity: 5
- Technical depth: 4
- Broad usefulness: 4
Overall Score: 4.6
19. Becoming Human: Artificial Intelligence Magazine
Becoming Human: Artificial Intelligence Magazine is a Medium publication that offers news and tutorials on AI, ML, data science, deep learning, and big data. It has more than 37,000 followers on Medium. You can find articles about the application of AI in a variety of fields, including finance, healthcare, and marketing, that will appeal to seasoned data science specialists as well as novices. Several new articles are published a month.
- Writing quality: 4
- Consistency: 4
- Longevity: 5
- Technical depth: 4
- Broad usefulness: 4
Overall Score: 4.2
20. Domino
Domino is a data science company that helps businesses with their ML models. Its blog features AI-related articles that discuss the most effective ways to put ML models into action. This is the best blog to read if you’re interested in learning about MLOps. The articles by different data science professionals are well written and easy to understand. New articles are posted every month.
- Writing quality: 5
- Consistency: 4
- Longevity: 4
- Technical depth: 4
- Broad usefulness: 5
Overall Score: 4.4
21. ProjectPro
ProjectPro is an online platform designed to help data professionals gain practical, hands-on experience. In addition to 270+ reusable project templates in data science and big data with step-by-step walkthroughs, ProjectPro has a great blog full of tips and best practices.
- Writing quality: 5
- Consistency: 4
- Longevity: 3
- Technical depth: 4
- Broad usefulness: 5
Overall Score: 4.2
Conclusion
One of the more difficult aspects of beginning or advancing a data science career can be knowing where to find good information. The blogs listed above should help you get a solid grounding in AI, ML, and other data science concepts so that you’re better able to create high-quality projects.
Keep in mind that each blog may present content differently and at different levels of expertise. The best thing to do is to read a variety of blogs. Once you know which are best suited to your skills and interests, you can use them to further your career goals.
By Davis David
Davis David is a data scientist at Dlab with a background in computer science. He is passionate about artificial intelligence, machine learning, deep learning, and software development. Davis is the co-organizer of AI meet-ups, workshops, and events with the goal of building a community of data scientists in Tanzania to solve local problems. He is also a content writer on platforms like Medium, Hackernoon, and FreecodeCamp.
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