Machine Learning Top 10 Articles for the Past Month (v.May 2018)
For the past month, we ranked nearly 1,400 Machine Learning articles to pick the Top 10 stories that can help advance your career (0.7% chance).
- Topics in this list: Roles of ML, Learning Paper, Virtual Stuntman, Annotated Transformer, Differentiable Plasticity, Medical image datasets, RNN/LSTM, Keras, CNNs, PyTorch, Audio
- “Watch” Machine Learning Monthly Top 10 on Github and get email once a month.
As an article ranking service for professionals, we take quality very seriously and make sure each article you read is great. Mybridge AI considers the total number of shares, minutes read, and uses our machine learning algorithm to rank articles. This is a competitive list and you’ll find the experience and techniques shared by the Machine Learning leaders useful.
Course of the month:
A) Beginners: Data Science A-Z: Real-Life Data Science Exercises Included.[11,909 recommends, 4.5/5 stars]
B) Deep Learning: Advanced Computer Vision. [2,166 recommends, 4.7/5 stars]
Rank 1
Rules of Machine Learning: Best Practices for ML Engineering. Courtesy of Martin Zinkevich
Rank 2
Lessons Learned Reproducing a Deep Reinforcement Learning Paper. Courtesy of Matthew Rahtz
Rank 3
Towards a Virtual Stuntman. Courtesy of Xue Bin (Jason) Peng
Rank 4
The Annotated Transformer — Harvard NLP.
Rank 5
Differentiable Plasticity: A New Method for Learning to Learn — Training plastic neural networks with backpropagation. Courtesy of Thomas Miconi and Jeff Clune and Kenneth O. Stanley
Rank 6
The unreasonable usefulness of deep learning in medical image datasets.
Rank 7
The fall of RNN / LSTM. Courtesy of Eugenio Culurciello
Rank 8
Keras and Convolutional Neural Networks (CNNs). Courtesy of Adrian Rosebrock
Rank 9
Tutorial on implementing YOLO v3 from scratch in PyTorch. Courtesy of Ayoosh Kathuria
Rank 10
Looking to Listen: Audio-Visual Speech Separation. Courtesy of Inbar Mosseri and Oran Lang