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Data Science Digest - Issue #6


DataScience Digest

March 17 · Issue #6 · View online
Collection of links to exciting and useful content on Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and other aspects of Data Science.
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FlyElephant Events
Data Science Lab 2017. Speaker Submission
FlyElephant Webinar: Julia - a fresh approach to numerical computing and data science
Fermat's Library | DeepStack: Expert-Level Artificial Intelligence in Heads-Up No-Limit Poker annotated/explained version.
[1703.05192] Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Enabling Continual Learning in Neural Networks | DeepMind
Stitch Fix Algorithms Tour
IPython Or Jupyter?
Using Python to create visual outputs against MapD Core, a GPU database
GitHub - yunjey/pytorch-tutorial: tutorial for researchers to learn deep learning with pytorch
Learning Machine Learning on the cheap: Persistent AWS Spot Instances
Unit Testing in R
Unit testing in R using testthat library Exercises
Native support for candlestick charts in Plotly and R
Fast data lookups in R: dplyr vs data.table
Doom Bots in TensorFlow
Practical Deep Learning For Coders—18 hours of lessons for free
The SemiColon
Dr. Eng Lim Goh on New Trends in Big Data and Deep Learning for Artificial Intelligence
Deep Learning by Yann LeCun
FPGAs Speed Machine Learning at SC16 Intel Discovery Zone
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