machine-learning
This is a topic under computer-science.
Sub topics: statistical-learning, gpt3
We have 3 learning paths for this topic: The Open Source Data Science Masters, Dorai Thodla, Syllabus: Machine Learning for Managers
A trainable spaced repetition model for language learning
github.comAutoAugment: Learning Augmentation Policies from Data (2018)
arxiv.orgMastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017)
arxiv.orgNeural Machine Translation and Sequence-to-sequence Models: A Tutorial (2017)
arxiv.orgDeep voice: real-time neural text-to-speech (2017)
arxiv.orgDropout: a simple way to prevent neural networks from overfitting (2014)
cs.toronto.eduA Unifying Review of Linear Gaussian Models (1998)
mlg.eng.cam.ac.ukGaussian processes for big data
auai.orgAdversarial Patch
arxiv.orgA few useful things to know about machine learning
homes.cs.washington.eduThe high-interest credit card of technical debt
static.googleusercontent.comInfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
arxiv.org