Reference readings come primarily from:

• Bishop's Pattern Recognition and Machine Learning,
• Murphy's Machine Learning: a Probabilistic Perspective,
• Tibshirani and Hastie's Introduction to Statistical Learning

Recommended supplementary references:

• Deisenroth et al's Mathematics for Machine Learning,
• Efron and Hastie's Computer Age Statistical Inference,
• Mitchell's Machine Learning,
• Hastie et al's Elements of Statistical Learning, and
• Hastie et al's Statistical Learning with Sparsity.

What's going on in deep learning:

• The Basics of Deep Learning
• Deep Learning: Practice and Trends (slides)
• Sequence learning with neural networks (slides)