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Essential Guide to keep up with AI/ML/DL/CV

These fields are booming these days. In order not to become rusty, one has to constantly follow the updates. Here is the essential guide on how to keep up with the important news/papers/discussions/tutorials. This guide is by no means an exhaustive one so contributions are truly welcome.

Connect to your local communities

Due to multiple reasons, there are various country-based communities. Connect to your local communities to participate in constructive discussions, raising questions, and local meetings.

Country Links
Argentina Inteligencia Artificial Argentina
Azerbaijan Azerbaijan Data Science Society
Brazil ML, DL, BD - Brasil and IA & DL Brasil
Canada Montreal.AI and QuebecAI
Czech Republic MLMU-Prague and MLMU-Brno
Egypt Egyptian Machine Learning Geeks
Germany ML-KA (Karlsruhe) and Machine Learning Munich
UK London.AI, AI,ML, and DL, AI in NI
France Paris.AI
India IDLI: Indian Deep Learning Initiative
Indonesia Machine Learning Indonesia, Big Data Indonesia, and DataScience Indonesia
Israel ML&DL and Q&A subgroup
Italy aixia and IA-Gov
Latvia Riga DS Club and Riga AI, Machine Learning and Bots
Malaysia TensorFlow & Deep Learning Malaysia and Machine Learning Malaysia
Mexico Data Science y Machine Learning en Mexico
Pakistan Pakistan.ai Page, Pakistan.ai Group, MLPK Page, MLPK Group, and Karachi.ai
Peru Machine Learning Peru
Poland Warsaw.AI, Data Science po polsku
Russia Open Data Science
Slovakia MLMU-Bratislava and MLMU-Košice
South Korea AI Korea (Deep Learning), TensorFlow KR, and PyTorch KR
Sweden Stockholm AI
Switzerland Zurich ML and SwissAI
Turkey Yapay Zekâ
Ukraine Artificial Intelligence, Computer Vision and Odessa DS
Vietnam Machine Learning cơ bản and FB page
Worldwide Learn AI Together

The table above lists well-established communities committed/suggested by their members. Additionally, make sure to visit CITY.AI that organizes get-togethers to connect to your local AI communities (40+ cities available).

Bookmarks to ‘Run on Start’

Reddit

machine_learning MachineLearning computervision learnmachinelearning

arXiv: open access to e-prints. Do not forget to install Fermat’s Library

Computer Vision and Pattern Recognition Artificial Intelligence Learning Neural and Evolutionary Computing Computation and Language Machine Learning

Arxiv Sanity: beautiful interface plus other features for interacting with arXiv

ShortScience: post-publication discussion

PapersWithCode: space to share papers with open-source implementation

TaggerNews (HackerNews with tags of interest filter)

DataTau: HackerNews for data scientists

AITopics: collection of info about research, people, and applications of AI

Made With ML: stay up-to-date with trending projects organized by topics

Deep Learning Monitor: monitoring the research field you care about

42Papers: monitoring trending papers

Youtube channels

3Blue1Brown Two Minute Papers What's AI Arxiv Insights Aurélien Géron Preserve Knowledge Lex Fridman Yannic Kilcher Leo Isikdogan Amii Intelligence Simons Institute CodeEmporium Henry AI Labs StatQuest bycloud Robert Miles

Do not forget to install playback speed control to optimize your time.

Company research blogs

Google Facebook Nvidia Apple OpenAI DeepMind

Quora

Machine Learning Computer Vision Deep Learning Reinforcement Learning

Less active updates

Google Scholar ResearchGate Distill

Twitter

Usually, important news is disseminated pretty fast on Twitter and often shared by many. Find people of interest and follow them.

Blogs/Newsletters

What's AI Weekly (news) The Wild Week in AI (news) Inside AI (news) The Morning Paper (paper summaries) inFERENCe (opinion on things) PyImageSearch (tutorials) O'Reilly Artificial Intelligence Newsletter Import AI (news) arg min blog Off the Convex Path (blog) The Spectator (blog) NLP News The Batch The Gradient LyrnAI Floydhub

Podcasts

Talking Machines TWIML Linear Digressions Data Skeptic Not so standard deviations Practical AI DeepMind podcast The AI Podcast(by NVIDIA) AI podcast TalkRL Machine Learning Guide Casual Inference AI2 Learning Machines 101 NLP Highlights Betancourting Disaster No BiAS Chai Time Data Science Brain Inspired