Machine Learning in Python: Essential Techniques for Predictive Analysis

About the Author

Dr. Michael Bowles (Mike) holds bachelor’s and master’s degrees in mechanical engineering, an Sc.D. in instrumentation, and an MBA. He has worked in academia, technology, and business. Mike currently works with startup companies where machine learning is integral to success. He serves variously as part of the management team, a consultant, or advisor. He also teaches machine learning courses at Hacker Dojo, a co-working space and startup incubator in Mountain View, California.

Mike was born in Oklahoma and earned his bachelor’s and master’s degrees there. Then after a stint in Southeast Asia, Mike went to Cambridge for his Sc.D. and then held the C. Stark Draper Chair at MIT after graduation. Mike left Boston to work on communications satellites at Hughes Aircraft company in Southern California, and then after completing an MBA at UCLA moved to the San Francisco Bay Area to take roles as founder and CEO of two successful venture-backed startups.

Mike remains actively involved in technical and startup-related work. Recent projects include the use of machine learning in automated trading, predicting biological outcomes on the basis of genetic information, natural language processing for website optimization, predicting patient outcomes from demographic and lab data, and due diligence work on companies in the machine learning and big data arenas. Mike can be reached through www.mbowles.com.