Resources
Articles
How to Become a Data Scientist - Brandon Rohrer
How to Use t-SNE Effectively - Martin Wattenberg
The Limitations of Deep Learning - Francois Chollet
The Future of Deep Learning - Francois Chollet
Blogs
Books
Artificial Intelligence - A Modern Approach
Pattern Recognition and Machine Learning
Intro to Statistical Learning
Elements of Statistical Learning
Research Papers
A Few Useful Things To Know About Machine Learning
Progressive Cross-Validation
Deep Forest, Towards an Alternative to Deep Neural Networks
GloVe: Global Vectors for Word Representation
Random Cut Forest for Anomaly Detection
Impossibility Theorem for Clustering
Spark Cluster Computing
Videos
15 Hours of ML
Andrew Ng’s ML Series
How Deep Neural Networks Work
How Convolutional Neural Networks Work
Mathematical Monk’s ML