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These 21 blogs and publications offer a practical starting point for following deep learning and data science, from institutional research updates to tutorials and individual technical writing. This is a curated directory, not a quality ranking or a current activity audit: check each site’s newest post and read a sample before subscribing.
How to choose a data science or deep learning blog
Start with what you want to learn or follow. The sources differ in purpose and perspective, and the directory does not score them for quality, beginner suitability, or publishing frequency.
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Deep Learning (Adaptive Computation and Machine Learning series) | $51.51 | Buy on Amazon |
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Deep Learning: Foundations and Concepts | $48.36 | Buy on Amazon |
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Deep Learning (The MIT Press Essential Knowledge series) | $11.36 | Buy on Amazon |
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Deep Learning: A Visual Approach | $61.11 | Buy on Amazon |
- Research updates or tutorials: Institutional research feeds are useful for announcements about an organization’s work. Tutorial-focused sources are better suited to worked explanations and learning material.
- Specialist depth or broad coverage: Some writers focus on technical topics, while broader publications cover a range of data science subjects.
- Individual or institutional perspective: Individual writers offer a personal technical perspective; company and research-lab pages describe work from the publishing organization.
- New posts or archive value: A useful older article does not mean a site is still publishing. Check the latest post date, and consider archive material on its own merits.
A manageable starting mix is one institutional research feed, one independent technical writer, and one broad tutorial publication. Add more only when they serve a distinct purpose.
21 curated blogs and publications
The descriptions below are broad guides to each source’s apparent focus, not audited evaluations. The directory lists links but does not establish current activity or comparative quality.
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Institutional research and company publications
- Google Research Blog — Research and data science updates from Google. Google’s official research page includes research posts and links to the blog.
- Google DeepMind Blog — Research updates from Google DeepMind, linked from Google’s official research page.
- OpenAI Research — Research releases and explanations from OpenAI. Its research page lists focus areas including frontier models, reasoning, multimodal systems, and safe deployment.
- Amazon AWS AI Blog — Company-published articles on AI and machine learning.
- Data Science @ Facebook — Company research and data science material.
- Dataiku Blog — Company articles on data science and analytics.
Tutorials, learning, and broad coverage
- Analytics Vidhya — Broad data science tutorials and community material.
- Data School — Data science learning and tutorials.
- Data Science Dojo Blog — Data science articles from an educational community source.
- Dataquest Blog — Data science learning articles.
- Towards Data Science — A broad community publication covering data science topics.
Individual technical writers and specialist archives
- Andrej Karpathy blog — Independent technical writing listed in the directory.
- Amit Chaudhary (amitness) — Independent machine learning writing.
- Andreas Müller — Individual writing about machine learning.
- Denny Britz’s blog — Independent technical writing.
- Tim Dettmers — Independent technical writing.
- Deep Learning — A deep learning-focused blog listed in the directory.
- Deep and Shallow — Writing on machine learning and data science.
- Distill — A machine learning publication and archive. Check its latest activity before treating it as a continuing feed.
- While My MCMC Gently Samples — A blog focused on statistics and modeling.
- WildML — A machine learning blog.
Use institutional posts with the right context
Google’s official research page links to Google Research and Google DeepMind. OpenAI’s research page provides an official research index and dated releases. These are useful places to see what the organizations report about their own work. For broader conclusions, look for the underlying paper or independent evidence rather than relying on an organization’s announcement alone.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Check activity before subscribing
The directory does not verify how often these sources publish, whether every link remains available, or whether access varies by location. Visit a site, check its newest post, and sample an article to see whether its depth and style fit your needs. Some entries may be more useful as archives than as regularly updated feeds.
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