Jeff Heaton Reviews

Jeff Heaton, Ph.D., is a direct data scientist in Reinsurance Group of America (RGA), an adjunct instructor at the Sever Institute in Washington University, and the author of several novels about artificial intelligence. Jeff holds a Master of Information Management (MIM) from Washington University and a Ph.D. in computer engineering from Nova Southeastern University. Over twenty years of expertise in all aspects of software development permits Jeff to bridge the gap between information science problems and applications development. Working mainly using the Python, R, Java/C#, and JavaScript programming languages that he ignites frameworks like TensorFlow, Scikit-Learn, Numpy, and Theano to implement profound learning, random forests, gradient boosting machines, support vector machines, T-SNE, and generalized linear models (GLM). Jeff holds numerous certifications and credentials, like the Johns Hopkins Data Science certification, Fellow of the Life Management Institute (FLMI), '' ACM Upsilon Pi Epsilon (UPE), also a senior membership with IEEE. He's published his research through peer reviewed papers together with the Journal of Machine Learning Research and IEEE.

Jeff Heaton Quality Chart