Google Machine Learning crash course
Accelerated intro to machine learning requiring minimal mathematics. Covers model development and deployment. Tensorflow, sklearn.
Accelerated intro to machine learning. Students completing this are able to build some of the most competitive models on kaggle. Pytorch.
Computer Vision - Stanford CS231
Advanced undergraduate course on computer vision. Focuses on convolutional neural networks and deep architectures. Covers object detection and realtime segmentation.
No nonsense explanations of tensorflow coding and other advanced statistical topics. Walks through python notebooks with some jokes thrown in.
Stanford CS231 Numpy primer
Machine Learning pipeline
Development of an ML pipeline for real world use. Estimated time to complete is 3 days.
Machine Learning Mastery Blog
Blog with many walk throughs on Machine learning topics. Good for solving specific problems quickly.
Distill | Machine Learning journal
Machine Learning academic journal and web publication. Some of the highest quality technical content on artificial intelligence out there.
Chris Olah's blog
Amazing explanations of lstm's, convolutions, max pooling layers, etc. Chris works for Google brain.
Kaggle NYC on Medium
Our very own community publication on medium.com
Mode Analytics Tutorials
Mode Analytics has very high quality SQL and Python tutorials geared towards data analysis.