Machine Learning Top 10 Articles For the Past Month (v.Oct 2017)

Mybridge
Mybridge for Professionals
4 min readOct 26, 2017

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For the past month, we’ve ranked nearly 1,200 Machine Learning articles to pick the Top 10 stories that can help advance your career. (0.8% chance to be picked in the list)

  • Topics in this list: Spotify Recommendation, Neural Network, Self-Play, Face Reconstruction, Neural Language Modeling, Interview Questions, Heart Disease Diagnosis, GANs, TensorFlow
  • Open source of the month is included at the end.
  • Machine Learning Top 10 for the previous month: here
  • Top 10 for Python, JavaScript, etc. are posted in the publication

Mybridge AI ranks articles based on the quality of content measured by our machine and a variety of human factors including engagement and popularity. This is a competitive list and you’ll find the experience and techniques shared by the experienced Data Scientists particularly useful.

Rank 1

Spotify’s Discover Weekly: How machine learning finds your new music. Courtesy of Sophia Ciocca and Hackernoon

Rank 2

But what *is* a Neural Network? | Deep learning, Part 1. Courtesy of 3Blue1Brown

Rank 3

Competitive Self-Play. Courtesy of Open AI

……… [ Read Paper ]

Rank 4

3D Face Reconstruction from a Single Image. Courtesy of Aaron Jackson

……….. [ Read Paper ]

……….. [ Code — 2,268 Stars on Github ]

Rank 5

Neural Language Modeling From Scratch. Courtesy of Ofir Press

……… [ Read Paper ]

Rank 6

Over 100 Data Science Interview Questions. Courtesy of LearnDataSci

Rank 7

Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber. Courtesy of Lingxue Zhu and Nikolay Laptev at Uber

……… [ Read Paper ]

Rank 8

Heart Disease Diagnosis with Deep Learning: State-of-the-art results with 60x fewer parameters. Courtesy of Chuck-Hou Yee and Insight Data

Rank 9

GANs are Broken in More than One Way: The Numerics of GANs. Courtesy of Ferenc Huszar

That’s it for Machine Learning Monthly Top 10. If you like this curation, read best daily articles based on your programming skills on our iOS App.

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