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All topics computer-science

machine-learning

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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

All Intermediate

Research Papers

A trainable spaced repetition model for language learning

github.com

AutoAugment: Learning Augmentation Policies from Data (2018)

arxiv.org

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017)

arxiv.org

Neural Machine Translation and Sequence-to-sequence Models: A Tutorial (2017)

arxiv.org

Deep voice: real-time neural text-to-speech (2017)

arxiv.org

Dropout: a simple way to prevent neural networks from overfitting (2014)

cs.toronto.edu

A Unifying Review of Linear Gaussian Models (1998)

mlg.eng.cam.ac.uk

Gaussian processes for big data

auai.org

Adversarial Patch

arxiv.org

A few useful things to know about machine learning

homes.cs.washington.edu

The high-interest credit card of technical debt

static.googleusercontent.com

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

arxiv.org

Sub-topics

Other Topics

gpt3 statistical-learning