This is a gateway to information resources relevant to the elective courses.

- Mathematical Analysis of Machine Learning Algorithms - eBookThis book introduces the main mathematical techniques used to analyze machine learning algorithms, with motivations and applications. Some of the topics described include analysis of supervised learning algorithms in the iid setting, analysis of neural networks, and analysis of machine learning algorithms in the sequential decision setting.
- Statistics Translated: A step-by-step Guide to Analyzing and Interpreting Data - eBookThis book prepares readers to become informed consumers of statistics and make decisions based on data, understanding decisions others have made. It identifies six simple steps to identify a researchable problem and to stating a hypothesis; identifying independent and dependent variables; and selecting, computing, and interpreting appropriate statistical tests.
- Thinking Probabilistically: Stochastic Processes, Disordered Systems, and their Applications - eBookProbability Theory has diverse applications in several fields, including physics, engineering, computer science, chemistry, biology and economics. This book introduces applications of Probability Theory, Stochastic Modeling and Random Processes, using examples from different disciplines.

- Mathematicians and Statisticians: A Practical Career Guide - eBookThis book includes interviews with professionals in a field that has proven to be a stable, lucrative, and growing profession. If you're looking for a career as a statistician, college math professor, actuary, research analyst or economist this is the book for you.
- What's the use?: How Mathematics Shapes Everyday Life - eBookSee the world in a completely new way as an esteemed mathematician shows how math powers the world--from technology to health care and beyond.