ML Review – Machine Learning Digest

Previous Digests

Browse back issues of ML Review newsletter.

Digest #11

TensorFlow Handbook, AutoML Book, Key Papers in RL, code2vec, Scipy Lectures, Conference Videos (COLT, NeurIPS, PROBPROG)

January 2019

Digest #10

Machine Learning for Engineers, NLP.js, Intro to Probabilistic Programming, Facebook Field Guide to ML, Auto-Keras, Exemplar-based Colorization

October 2018

Digest #9

Bandit Algorithms Book, Deep Video Portraits, Human Pose Estimation Using WiFi, Multi-Modal Methods, CVPR 2018

August 2018

Digest #8

Tensorboard for PyTorch, Capsule Networks by Geoff Hinton, Approaching NLP Problem on Kaggle, Colorizing B&W Photos

November 2017

Digest #7

Fashion-MNIST, Deep Learning for Video Games, Speech and Language Processing (3rd ed. draft), JupyterCon Talks

September 2017

Digest #6

Create Anime Characters with A.I., NLP Best Practices, Python Data Science Handbook, HarvardX Biomedical Data Science

August 2017

Digest #5

Deeplearn.js, CVPR 2017 Videos, Guide to Semantic Segmentation, Photographic Image Synthesis

August 2017

Digest #4

OpenPose C++ library, Thermodynamics and Inference, A Tutorial on Thompson Sampling, PyData Seattle & Berlin 2017

July 2017

Digest #3

The Devil is in the Decoder, You and Your Research, SciPy 2017 Videos, Learning to Learn

July 2017

Digest #2

UMAP — better alternative to t-SNE, Text Summarization Survey, Obama lip-syncing

July 2017

Digest #1

Attention Is All You Need, The Art of Momentum Tuning, BayesSearchCV

July 2017