Artificial Intelligence: Links And Resources (79)

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Understanding Deep Learning Requires Rethinking Generalization
https://arxiv.org/pdf/1611.03530.pdf

Data science competitions to save the world
https://www.drivendata.org/

Can a neural network learn to recognize doodling?
https://quickdraw.withgoogle.com/#

Why it’s hard to design fair machine learning models
https://www.oreilly.com/ideas/why-its-hard-to-design-fair-machine-learning-models

Getting Better at Machine Learning
https://medium.com/@rchang/getting-better-at-machine-learning-16b4dd913a1f

What’s New in Deep Learning Research: How Google Uses Reinforcement Learning to Ask All the Right Questions
https://towardsdatascience.com/whats-new-in-deep-learning-research-how-google-uses-reinforcement-learning-to-ask-all-the-right-69c172f113c4

Sequence to Sequence Learning with Neural Networks
https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf

Fundamental Python Data Science Libraries: A Cheatsheet (Part 4/4)
https://hackernoon.com/fundamental-python-data-science-libraries-a-cheatsheet-part-4-4-fd8895ef85d5

Angel “Java” Lopez
https://github.com/ajlopez
http://www.ajlopez.com
http://twitter.com/ajlopez

2 thoughts on “Artificial Intelligence: Links And Resources (79)

  1. Pingback: Artificial Intelligence: Links And Resources (78) | Angel ”Java” Lopez on Blog

  2. Pingback: Artificial Intelligence: Links And Resources (80) | Angel ”Java” Lopez on Blog

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