Hi Everyone, Hope you all are fine and safe. Today, In this post, We’ll share a handpicked list of 100+ active, regularly updated and some of the best Artificial Intelligence, Machine Learning and Deep Learning blogs & communities.
Table Of Contents 👉
- Machine Learning Blogs To Follow
- Top Machine Learning And Deep Learning Blogs Are As Follows
- Sebastian Ruder
- Andrej Karpathy Blog
- Pete Warden’s Blog
- Sebastian Raschka
- Lilian Weng
- Sanyam Bhutani
- Google AI Blog
- Jay Alammar
- DeepMind Blog
- Machine Learning Mastery
- Reddit Machine Learning • r/MachineLearning
- Import AI
- The Spectator
- Twitter List – AI, ML and Data Science
- FloydHub’s Blog
- The BAIR Blog
- Colah’s Blog
- Engineering at Quora
- Medium Machine Learning
- Machine Learning at Apple
- NVIDIA’s Official Blog & Developer’s Blog
- Papers With Code
- Reddit Learn Machine Learning • r/learnmachinelearning
- Kaggle Blog
- IBM Research Blog
- Machine Learning at Uber
- OpenAI Blog
- TensorFlow Blog
- Pytorch Blog
- Machine Learning at Twitter
- Machine Learning at DoorDash
- AWS Machine Learning Blog
- Brighterion AI Blog
- StackOverFlow Machine learning
- Machine Learning at Berkeley
- Nuit Blanche
- Towards Data Science
- Towards AI
- ArXiv ML
- Best Machine Learning Github Repositories
- Machine Learning at Pinterest
- Machine Learning at Netflix
- Machine Learning Theory
- Mark Tech Post
- O’Reilly AI and ML
- CMU Machine Learning
- AI Summer
- Becoming Human AI
- Paperspace Blog
- Machine Learning at Instacart
- TechXplore AI & ML
- MIT Tech Review
- IBM Developer Code Patterns
- Facebook AI Blog
- Medium Deep Learning
- Analytics Vidhya
- The AI Blog by Microsoft
- The Gradient Pub
- Off The Convex Path
- Microsoft Research Blog
- Skynet Today
- Daniel Seita
- Neptune AI
- Science Daily / AI
- Stanford AI
- DeepLearning AI
- Lex Fridman
- Two Minute Papers
- Hackernoon / AI
- Machine Learning at Spotify
- Graduate Descent
- H2O.ai Blog
- TNW Artificial Intelligence
- Chip Huyen
- AI and ML at LinkedIn
- Adam Geitgey
- AI in Plain English
- Stanford HAI
- Active Wizards Blog
- Frequently Asked Questions:
Machine Learning Blogs To Follow
- Sebastian Ruder
- Andrej Karpathy Blog
- Google AI Blog
- Import AI
- Machine Learning Mastery
- Reddit Machine Learning • r/MachineLearning
- Reddit Learn Machine Learning • r/LearnMachineLearning
- Pete Warden’s Blog
- Towards Data Science
- Twitter Machine Learning List
- Sebastian Raschka
- Kaggle Blog
- TensorFlow Blog
Top Machine Learning And Deep Learning Blogs Are As Follows
Sebastian is a research scientist in the language team at DeepMind. At Ruder.io, the author shares articles about natural language processing, machine learning, and deep learning. This is one of the machine learning blogs to follow in 2023
A Must follow blog for machine learning and deep learning enthusiast. You should follow this blog because the articles are written by a senior director of Artificial Intelligence at Tesla. Andrej Karpathy is also a founding member of one of the best non profit AI company named OpenAI.
Peter Warden is an engineer, author of The Public Data Handbook and The Big Data Glossary for O’Reilly, builder of OpenHeatMap and the Data Science Toolkit and other open-source projects. His blog has well-structured short articles that are informative and educational but they are not for beginners.
Another must follow machine learning and deep learning blog, created by Assistant Professor of Statistics at the University of Wisconsin-Madison. It’s different than normal blog. You will find personal opinion, tips, reviews, resources and more on his blog.
A Machine Learning Blog by Lilian Weng, an applied AI research manager at OpenAI. Lilian covers various topics like Reinforcement Learning, NLP, AutoML, Object Detection, Auto Encoder, Transformers, Meta Learning, and other topics.
A Blog from 2x Kaggle Grandmaster and Machine Learning Engineer at H2O.ai. A website full of machine learning interviews with world’s best experts like Jeremy Howard, Sebastian Ruder, Ian Goodfellow, Andrew Trask, Francois Chollet and other Kaggle Kernels.
GoogleAI blog is a good source for those who have an ongoing career in AI and want to stay up to date with the latest advances. However, for those with some degree of expertise, this ML blog is gold.
Jay Alammar, Machine Learning Engineer at Arpeggio and Deep Learning content creator at Udacity, visualize and explain machine learning concepts to thousands of learners via his blog articles and Udacity’s Machine Learning, Deep Learning and NLP Nanodegrees.
DeepMind works on some of the most complex and exciting challenges in AI. Their world-class research has resulted in hundreds of peer-reviewed papers, including in Nature and Science. Also listen to some of their amazing podcast like Towards the Future, AI for Everyone, and more.
Professional developer and machine learning practitioner Jason Brownlee started this blog years ago as a resource to help other developers become well-versed in ML. Today, it remains a top-referenced blog for industry professionals looking to broaden their knowledge of ML concepts.
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Followed by thousands of experts and researchers like Jeremy Howard, Hardmaru, Andrew Ng, Francois Chollet, etc, this subreddit is a powerhouse for those who wants to keep themselves updated with what’s latest happening in this field. In this list, this is considered as one of the best machine learning and deep learning blogs every beginners and advanced ML enthusiast should follow in 2023.
PyImageSearch is a website created by Adrian Rosebrock, PhD, professional Computer Vision/Deep Learning developer and researcher. He started the this blog to help other students, developers, and researchers become better at computer vision. He shows other people how to master Computer Vision and Deep Learning in a practical way instead of diving into theoretical stuff.
The founder of Import AI is Jack Clark, A strategy and communication director at OpenAI. He offers in depth articles about Data, Machine Learning and Artificial Intelligence. This blog is not for beginners.
Shakir Mohamed, a research scientist at DeepMind, writes about machine learning and deep learning on his blog. Shakir’s aim is to dive into computational science, machine learning, and statistics, as a single field. Therefore shows the interdisciplinary nature of the field of machine learning research while exploring its diverse themes and topics.
A blog about machine learning research, deep learning, causal inference, variational learning, by Ferenc Huszar, a senior lecturer in machine learning at university of Cambridge.
Connect with world’s best organization and experts in artificial intelligence and machine learning via this list and keep yourself updated with latest happenings in the field of artificial intelligence and machine learning.
The regularly updated, reliably informative blog at this deep learning platform and Y Combinator alum has solidified itself as a trusted resource over the last three years.
The artificial intelligence research department at UC Berkeley created this blog to share research findings and important information about their AI-related work.
Christopher Olah portrays himself as a wandering machine learning researcher, looking to understand things clearly and explain them well. Olah is a researcher with Open AI and formerly at Google AI. His blog has complete and exciting articles for the machine learning researcher and enthusiast — a gold mine of free, open, machine learning research.
The Software Engineers, Developers, Machine Learning Engineers and other professionals working at Quora shares everything about the backend and frontend of Quora.
This is also one of the best source for learning machine learning. This is not basically a publication or blog, its a tag page where medium curates all the stories that are related to machine learning. On this page, Medium scraps and shows some of the best as well as latest stories in machine learning.
Apple’s advancements in voice recognition, predictive text, and autocorrect leveraged for Siri signal some of its machine learning work. Apple Machine Learning Blog will help you to understand how ML shapes their different technologies, and Apple engineers give perspective on how their work influences the transformation of ML.
Distill is technically not a blog–it’s an online research journal dedicated to machine learning and other topics. However, the scientific journal’s content and fresh presentation style warrant it a mention on this list.
At NVIDIA’s Official Blog as well as on Developer’s Blog, you will find news, podcasts and stories like What Will NVIDIA CEO Jensen Huang Cook Up This Time at NVIDIA GTC?, What Is Conversational AI?, and more.
Papers With Code highlights trending Machine Learning research and the code to implement it. The mission of PWC is to create a free and open resource with Machine Learning papers, code and evaluation tables.
This is the second most popular subreddit dedicated to machine learning. Redditors add valuable post like Math You Need to Succeed In ML Interviews, ask questions like What should my learning path be for Computer Vision and Deep Learning, and shares their project like Playing the 8 Queen Puzzle Game using PyGAD (Genetic Algorithm) and more. In this list, this is also considered as one of the best blogs to learn machine learning and deep learning from experts for free.
At Kaggle Medium Blog, You will find interviews from Kaggle competitors and grandmasters like “First-time Competitor to Kaggle Grandmaster Within a Year | A Winner’s Interview with Sanghoon Kim”, different guides like ” I trained a model. What is next?” and more! In this list, this is considered as one of the best machine learning and deep learning blogs for beginners and advanced ML enthusiast
IBM Artificial Intelligence needs no introduction. They have a commendable team of professionals who have worked in multiple industries over the years. In their artificial intelligence and machine learning blog, you will find solutions to issues that you might have faced as an engineer while coding and be sure to have a reliable community to talk to.
Uber Engineering is all about building scalable systems to move people and things to the physical places they need to go. Follow to keep up with machine learning articles from Uber Engineering.
OpenAI comes from industry leaders who want to bring AI to the masses. Contributors discuss their collective efforts to improve and advance AI technologies through long-term research. It’s a valuable resource for anyone interested in the future of AI.
The official blog of Google’s powerful machine-learning library is regularly updated with digestible how to’s, creative use-case spotlights and introductions to new open-source packages.
Speaking of Facebook Research, perhaps the most notable tool to emerge from FB R&D – the deep-learning framework PyTorch – sports a host of relevant content on its dedicated blog.
This blog will take you inside twitter. You will learn about, how twitter uses machine learning and artificial intelligence to solve various problems.
A must read machine learning blog. They drop articles like “Best Practices for Regression-free Machine Learning Model Migrations”, “Building Flexible Ensemble ML Models with a Computational Graph” and more
The blog highlights projects and guides that reveal industry strides to readers and covers ML uses in Amazon Web Services technology.
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Brighterion offers articles, news and thought leadership on artificial intelligence and machine learning. On their blog they covers articles like “The importance and challenges of ethical AI”, “Building trust in AI throughout the digital user journey and credit risk lifecycle” and more.
StackOverFlow is not only for developers. If you’re facing any problem or not, SOF ML will be still helpful for you. You will find experts answers to general as well as advanced questions about machine learning (concepts, theory, methodology, terminology etc).
Led by a group of students at UC Berkeley, this blog is dedicated to building and fostering a vibrant machine learning community on campus while contributing to the greater machine learning community and beyond.
Nuit Blanche is a blog that focuses on Compressive Sensing, Advanced Matrix Factorization Techniques, Machine Learning as well as many other engaging ideas and techniques needed to handle and make sense of very high dimensional data also known as Big Data.
Towards Data Science is one of the largest Medium publications, dedicated to unveiling Data Science, Artificial Intelligence, and Machine Learning knowledge. In this list, this is considered as one of the best machine learning and deep learning blogs for beginners and advanced ML enthusiast.
KDNuggets is one of the most well-known Machine Learning and Data Science blogs out there. It is continuously posting articles about all sorts of topics related to these fields: from an easy hands-on explanation of algorithms to complex projects or advice.
Towards AI is an online medium publication, which focuses on sharing high-quality news, articles, and stories on Artificial Intelligence, Machine Learning, Deep Learning and technology related topics.
ArXiv.org is one of the and top-voted great place to read research papers on a wide variety of topics like machine learning, data science deep learning, artificial intelligence, and more. The collection of research papers on the platform are over 1.5 million, with over 40 ,000 papers for machine learning alone. It is a great place for those looking to get started on reading about ML and DL.
Best Machine Learning Github Repositories
Dedicated communities of ML enthusiasts have created multiple lists of the must-reads in the machine learning and deep learning fields. These include not only curated lists of some of the influential papers published over the past few years, but also some hidden gems and a vast amount of knowledge.
Some examples include Terryum‘s “Awesome – Most Cited Deep Learning Papers”, Floodsung‘s “Deep Learning Papers Reading Roadmap” collections and Joseph Misiti’s Awesome Machine Learning – A curated list of awesome machine learning blogs, professional machine learning events, frameworks, libraries, Softwares and more.
Pinterest Labs tackles the most challenging problems in Machine Learning and Artificial Intelligence. And through their blog they share the solutions plus different articles like how ML is implemented in Pinterest, and more.
Netflix’s surfeit of user data has allowed for analytics-driven decisions both small (algorithmically personalized thumbnail art) and large (whether or not a production or title buy is greenlighted). It also means that, whenever Netflix reveals something about the inner workings of its data team, it’s usually worth a look.
The Machine Learning Theory aka Hunch blog is an experiment by machine learning researcher John Langford. He has emphasized that the field of machine learning “is shifting from an academic discipline to an industrial tool”.
MarkTechPost blog has a dedicated section on free resources for Artificial Intelligence, Machine Learning, and other programming arenas along with tutorials. Interviews of known contributors to the industry act as a valuable insight to learners in AI. You will also find interesting freelancing tips to break into the profession.
With O’Reilly’s blog, it’s easy to stay on top of the industry trends as their posts often come from leading AI and ML influencers.
The machine learning blog at Carnegie Mellon University, ML at CMU, provides an accessible, general-audience medium for researchers to communicate research findings, perspectives on the field of machine learning, and various updates, both to experts and the general audience. Posts are from students, postdocs, and faculty at Carnegie Mellon.
AI Summer is a free educational blog with one single purpose. To help you learn everything you need to know about Deep Learning. If you want to simply stay updated on the latest trends in the field, this is the site for you.
This blog contains the Information and Tutorials specifically on Artificial Intelligence, Machine Learning. You will find all the AI concepts in detail here with all the recent developments in the field and how it can benefit humans.
A Blog dedicated to Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision and Natural Language Processing
Instacart’s three-million-order data set remains a Kaggle-competition go-to and a handy resource for anyone diving into product purchasing analysis. So perhaps it’s no surprise that the grocery service’s tech blog sports some thoughtful, instructive peeks behind the curtain into its work in machine learning and data science.
TechXplore covers latest news and reseach on Artificial Intelligence and Machine Learning. Join them and get insights like “Artificial nervous system uses light sensing to catch objects like humans do”, and more
MIT is no doubt the leading research institute for technology. They have dedicated a complete section on their website for artificial intelligence enthusiasts. Every now and then they share research material about how a machine can learn and improve our lives.
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Developing artificial intelligent programs is a very complex and time-consuming task. As a programmer, they often stuck in difficult coding challenges that slow down our progress.
Facebook AI is known for working on state-of-the-art research in the field. Their research areas focus on machine learning theory, speech, and audio, along with human and machine intelligence. The Facebook AI Blog encompasses excellent content, from blog posts to research publications.
This page will provide you helpful and interesting articles by experts from all over the world in Deep Learning. In this list, this is considered as one of the best blogs to learn machine learning and deep learning from experts for free.
If you’re searching for artificial intelligence, machine learning, data science or programming related tutorials then DataFlair can help you. They covers wide range of articles like “Top 47 Machine Learning Projects for 2021 – Source Code Included”, 70+ Data Science Project Ideas and Datasets”, Artificial Intelligence vs Machine Learning vs Data Science vs Deep Learning”, and more
Analytics Vidhya is always ranked among the best learning points for data science and machine learning students. It’s like a one-stop-shop that offers good articles, a discussion forum, and some free courses. It even enables companies to hire top-notch talent by organizing competitions.
Where Microsoft uses Artificial Intelligence in their products as well as in other stuffs. This blog will explore the insights like “See How Microsoft PowerPoint’s AI-powered coach will hone your presentation skills everywhere”, and more
The Gradient is a magazine that aims to be a place for discussion about research in AI and ML.
At Off Convex, The authors will report on interesting research directions and open problems, and highlight progress that has been made in convex optimization.
Microsoft’s Machine Learning blog is a resource that can serve many purposes. Structured as a simple list of articles ordered by the date it contains posts about how Machine Learning can improve business, where no tech background is needed, to articles about Deep Learning.
Journal of Machine Learning Research website provides the papers published in the journal from 2000 onwards freely online, bringing high quality ML research papers to the public.
FastAI is known for his awesome deep learning courses. Apart from courses, you can also find news and informative article on their blog. The blog is managed by Jeremy Howard and Rachel Thomas.
Skynet Today is a site dedicated to providing accessible and informed coverage of the latest AI news and trends. They offer a platform for people with expertise in AI to share their knowledge and perspectives with a broader audience.
Daniel Seita is a computer science PhD student at the University of California, Berkeley, working on robotic manipulation and machine learning as part of Berkeley Artificial Intelligence Research (BAIR). On his Github blog, he had written more than 300 articles on a variety of topics.
Neptune.AI provides a remarkable machine learning blog, offering tutorials on machine learning modeling, generative models, and more.
This blog is for programmers, hackers, engineers, scientists, students and self-starters who are interested in Computer Vision and Machine Learning. Join LOC and learn computer vision, machine learning, Caffe examples and tutorials written in C and Python.
In this blog, you will find out Everything on AI, including futuristic robots, computer-based models, AI-related innovations and more.
The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1962. They write about latest research ongoing in Stanford, different guides, news, talks and resources related to Artificial Intelligence and Machine Learning.
Stay up to date with nuanced takes on high-impact business trends, practical research papers, and industry-shaping applications with the batch of DeepLearning.AI. Every week, the Batch presents the most important AI events and perspective in a curated, easy-to-read report for engineers, enthusiasts, and business leaders as well as a personal note from Andrew Ng.
Lex FridMan is a researcher for human-centered AI, autonomous vehicles, and deep learning at MIT. His blog is a one-stop site for ways to listen to his podcast. He brings in people who specialize in deep learning, robotics, AGI, neuroscience, etc.
Károly Zsolnai-Fehér is the brilliant mind behind this popular channel that introduces new science researches, particularly Artificial Intelligence and Machine Learning. The site releases new content every week and has attracted 933K subscribers. In this list, this is considered as one of the best blogs to learn machine learning and deep learning from experts for free.
Hackernoon, a micro organization with 15K creative writers who writes on various topics including artificial intelligence, machine learning and data science.
You won’t find a recipe for Spotify’s recommendation-system secret sauce-a hybrid of content-based and collaborative filtering that’s been crucial to the streaming app’s success-on the company’s blog.
Tim Vieira, at graduate descent covers in-depth articles on math for machine learning, statistics, algorithms, reasoning, data structures and more. If you’re math plus machine learning guy then this blog is for you. Some of his latest releases includes “Fast rank-one updates to matrix inverse?”, “On the Distribution of the Smallest Indices” “On the Distribution Functions of Order Statistics” and more.
At H2O.ai blog, the author writes news related to implementation of their software in various business, share opinions on questions like “Successful AI: Which Comes First, the Data or the Question?”, explores amazing journeys like “Meet the Data Scientist who just cannot stop winning on Kaggle” and more.
One of the best source to follow for latest artificial intelligence news. Some of their recent stories include “Study: People trust the algorithm more than each other”, “Physicists working with Microsoft think the universe is a self-learning computer” and more. From the title, If you think it will be interesting source then follow them.
Chip Huyen, a former NVIDIA Senior Deep Learning Engineer and a lecturer at Stanford University has created this blog to share her experience as well essential stuffs. Take a look at some of her recent articles that includes “Machine learning is going real-time”, “What I learned from looking at 200 machine learning tools” and more. In short, A must follow blog.
This blog will take you inside LinkedIn. What, why and how they use AI, ML and Data Science to build as well as to solve various problems. Latest stories on their blogs includes “Using the LinkedIn Fairness Toolkit in large-scale AI systems”, “Dagli: Faster and easier machine learning on the JVM, without the tech debt” and more
Adam Geitgey is a former Software Developer at Groupon and an author at Lynda. He believes ML is integral to the future of software and that developers should have a strong working knowledge, so he provides guides and techniques to help them develop and grow.
As the name suggest, the founder of this AI medium publication has created this blog to break complexity of AI and explain it in the simple form.
The last as well as another must follow AI blog from Stanford’s HAI (Human Centered Artificial Intelligence). The contributors writes on real life examples and implementation and impact of AI in various fields. Join this Artificial Intelligence Blog and see the perspective of professionals by reading their articles.
Active Wizards is a team of experienced data scientists and engineers focused on complex data projects. Apart from solving complex problems, they also shares their journey as well as basic and intermediate type machine learning articles on their blog.
Frequently Asked Questions:
Which Site Is Best For Learning Machine Learning?
Their is not one best site to learn machine learning. There are many and some of them are Sebastian Ruder, Andrej Karpathy Blog, Google AI Blog, Import AI, Machine Learning Mastery, Reddit Machine Learning • r/MachineLearning, Sebastian Raschka, Kaggle Blog, PyImageSearch, TensorFlow Blog, etc.
What Are The Best Machine Learning Blogs For Beginners?
The Best Machine Learning Blogs For Beginners Are Machine Learning Mastery, PyImageSearch, Distill, Papers With Code, Reddit Machine Learning Community, Kaffle Blog, etc
What Are The Best Blogs On Artificial Intelligence For Beginners?
OpenAI, ImportAI, GoogleAI, DeepMind, BAIR Blog, AI Trends, MIT AI, Microsoft AI, etc are the Artificial Intelligence Blogs for Beginners.
What Are The Best Deep Learning Blogs For Beginners?
Deep Learning AI, Deep Learning Medium Tag, Deep Learning Reddit Community, Sebastian Raschka, Sebastian Ruder, Andrej Karpathy Blog, etc are the best deep learning blogs for beginners.