About the Authors

I would like to thank most of all my wife, Karen, for her immense support while writing this book. I would like to thank my daughters, Annelise and Sofia. Annelise considers this her book. I am very grateful to Bo Morgan who suggested I use scikit-learn many years ago. We had many artificial intelligence discussions and Bo introduced me to Marvin Minsky's layers of mental activities and neural networks. I would like to thank as well the late Marvin, who was Bo's advisor. I am grateful to Jose Ramirez, co-founder of Ayaakua, where I applied neural networks and machine learning with scikit-learn to computer vision problems. 

Special thanks to MIT professor emeritus Robert Rose, who was very encouraging in regards to writing this particular machine learning book. I would also like to thank professors Seth Lloyd and Peter Shor for introducing me to computations of a probabilistic nature, the many-worlds that might be of quantum mechanics; Dr. Paul Bamberg for teaching statistics (although I took a geometry class from him) and Dr. Michael Artin for his humor and geometric algebra knowledge. Finally, I would like to thank Dr. Yuri Chernyak who taught me a lot about problem solving.

I would like to thank Packt for writing (and helping me write) very direct and practical books.  I would also like to thank the Python community and their philosophies. Python is a very welcoming and elegant language, particularly effective for solving very tough problems and fine-tuning requirements very fast. I would like to thank you in advance for reading this book and pushing the data science frontier further with scikit-learn.