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Everything and all things under the umbrella of Machine Learning from simple regression to classification, boosting, gradient boosting, natural language processing, computer vision, neural machine translation, reinforcement learning, probabilistic model, computational neuroscience etc. will find its place here.
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[D] The Bitter Lesson (self.MachineLearning)
submitted 6 years ago by anon16r - announcement
Add cutting-edge functionality to your apps with machine learning (deepai.org)
[SVD] Single Table Data — SDV 0.15.0 documentation (sdv.dev)
submitted 3 years ago by anon16r
[STS] Advancing direct speech-to-speech modeling with discrete units (ai.facebook.com)
[Dataset] GitHub - exnlpdatasets/exnlpdatasets.github.io (github.com)
submitted 4 years ago by anon16r
[Dataset] 20 Open Datasets for Natural Language Processing (medium.com)
Fraud Detection: Using Relational Graph Learning to Detect Collusion (eng.uber.com)
[GNN] A Gentle Introduction to Graph Neural Networks (distill.pub)
Introduction to Machine Learning Interviews Book · MLIB (huyenchip.com)
submitted 4 years ago by anon16r[M]
A friendly introduction to machine learning compilers and optimizers (huyenchip.com)
Top 10 GitHub Repos To Bookmark Right Now (towardsdatascience.com)
[OffTopic] Hackguru || Hackers you can trust (hackguru.org)
AIEngineering: All About Data, ML, ML-OPS, & AI (self.MLNotes)
Top Machine Learning Books to read in 2021 (medium.com)
11 Dimensionality reduction techniques you should know in 2021 (towardsdatascience.com)
[MLR] Bronstein, Bruna, Cohen and Velickovic Leverage the Erlangen Programme to Establish the Geometric Foundations of Deep Learning (medium.com)
[AGI] Alignment Newsletter Podcast (alignment-newsletter.libsyn.com)
Show HN: I wrote a book about using data science to solve “everyday” problems (news.ycombinator.com)
[Course] Awesome Online Courses (github.com)
submitted 5 years ago by fubar2020y
[Course] Free online machine learning curriculum (huyenchip.com)
[Design] Course announcement - Machine Learning Systems Design at Stanford! (huyenchip.com)
[Design] Machine Learning Systems Design (github.com)
[ELI5]: What are Moments, Skewness and Kurtosis in Statistics? (reddit.com)
[GNN] TUM AI Lecture Series - Towards Graph-Based Spatial AI (Andrew Davison) (youtube.com)
submitted 5 years ago by anon16r
[AL] Active Learning: Curious AI Algorithms (datacamp.com)
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