Blogs
Introduction
Blog is one of the most efficient tools, if not the most, to gain knowledge of technical and non-technical topics and stay up to date with the latest changes in the industry. This section provides our thoughts and summaries on quality blog posts for people pursuing a data science career. We cover various topics, including technical matters such as artificial intelligence, statistics, and experimentation, and non-technical matters, such as leadership, management, and productivity.
Our Favorite Blogs
Industry Blogs
Deeplearning.ai
Deeplearning.ai is founded by Andrew Ng, a Stanford CS professor widely known for Coursera and his democratizing Deep Learning effort. Their blog features industry news and interviews with AI leaders. We recommend you review their blog posts and the weekly newsletter called “The Batch.”
Google AI
Google posts regular updates on their AI and ML research works. A wide range of topics are covered in the blog, and their posts are short, well readable.
Facebook AI
Facebook AI researchers post exciting applications of ML across various fields such as computer vision, natural language progressing, augmented reality, etc. We appreciate how they share summaries of their groundbreaking research in their blog using simple terms to link their research papers describing technical details.
Academic Blogs
Open AI
Open AI’s blog is the best bet if you are interested in ML models and their performances for various AI problems.
Berkeley AI Research
UC Berkeley AI Research (BAIR) Lab brings together researchers across the areas of computer vision, machine learning, natural language processing, planning, control, and robotics and provides technical overviews of their latest AI projects.
Columbia University Stats
Andrew Gelman and fellow Statistics professors at Columbia University provide technical commentary on statistical modeling, causal inference, and social science.
Simply Statistics
Jeff Leek, Roger Peng, and Rafa Irizarry share their thoughts on AI, Stats, Social Phenomenons, Data Analysis Tools, Career, etc.
Just note that their post cycle has become irregular and decreasing since 2019.
News
Five Thirty Eight
Nate Silver and his FiveThirtyEight team provide inspiring data stories.
Flowing Data
In Flowing Data, Nathan Yau offers extensive examples and tutorials for effective data visualization.
More
- Lex Fridman - an AI Researcher at MIT, sharing his views periodically in Youtube.