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
Great Britain	London.AI, AI,ML, and DL
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
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

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’

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

Deep Learning Monitor: monitoring the research field you care about

Youtube channels

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

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. Here are some of the Tweeters(in no particular order):


Deep Learning Hub	Geoffrey Hinton	Yann LeCun	Andrew Ng	Ian Goodfellow	Lynn Cherny
Allie K. Miller	Fabio Moioli	Oriol Vinyals	Spiros Margaris	Ferenc Huszár	Fei-Fei Li
Tarry Singh	Martin Ford	Jihoon Jeong	Nige Willson	Nathan Benaich	Adam Geitgey
Soumith Chintala	Gary Marcus	Ayşe Naz Erkan	Adam Coates	Andrej Karpathy	Luba Elliott
Vincent Boucher	Andreas K. Maier	KDnuggets	Moustapha Cisse	Reza Zadeh	John A Guerra Gómez

Blogs/Newsletters

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

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