Aerospace Engineering Technical Elective Program - Focus Areas

This 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.

This 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.

Probability 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.

This 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.

See the world in a completely new way as an esteemed mathematician shows how math powers the world--from technology to health care and beyond.