In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

She is the one who wrote the above introduction to her findings on real-time machine learning in order to crystallize the growing experience she and her colleagues are accumulating.

Learning Outcomes Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what ...