Visualization

• Visually explained
• Visual Introduction to Machine Learning (Decision Trees)

Textbooks

• A Brief Introduction to Machine Learning for Engineers

Tutorials

• Neural Network and Back Propagation (excellent article, with simple derivations)
• MCMC Sampling, tutorial and code
• Software tutorial, compilation (incl. Pandas)
• Recurrent Neural Network (3 part series)
• Implementing a Neural Network from scratch
• Machine Learning iPython Notebook
• Dive into Machine Learning
• Guide to Ensemble
• Machine Learning Crash Course
• CS-228 Probabilistic Graphical Models - Notes
• Excellent tutorial on Neural Networks

Datasets

• Publicly available datasets github

Articles

• Weak Learning and Boosting
• Choosing an algorithm
• Current state of machine intelligence

Blogs

• Alex Woods
• KDnuggets (list of other blogs)

Areas of ML

Multiple Instance Learning

• Survey PDF, Survey Slides
• Attention based MIL

Augmentation and Generalization

• On the Generalization Effects of Linear Transformations in Data Augmentation
• When Unseen Domain Generalization is Unnecessary?Rethinking Data Augmentation
• mixup: Beyond Empiricial Risk Minimization
• Vicinal Risk Minimization