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About the authors

Ahmed Sherif is a data scientist who has been working with data in various roles since 2005. He started off with BI solutions and transitioned to data science in 2013. In 2016, he obtained a master's in Predictive Analytics from Northwestern University, where he studied the science and application of ML and predictive modeling using both Python and R. Lately, he has been developing ML and deep learning solutions on the cloud using Azure. In 2016, he published his first book, Practical Business Intelligence. He currently works as a Technology Solution Profession in Data and AI for Microsoft.

I would like to begin by thanking my wife, Ameena, and my three lovely children, Safiya, Hamza, and Layla, for giving me the strength and support to complete this book. I could not have done it without their love and support. I would also like to thank my co-author, Amrith, for all of his hard work and determination to write this book with me.

Amrith Ravindra is a machine learning enthusiast who holds degrees in electrical and industrial engineering. While pursuing his masters he dove deeper into the world of ML and developed love for data science. Graduate level courses in engineering gave him the mathematical background to launch himself into a career in ML. He met Ahmed Sherif at a local data science meetup in Tampa. They decided to put their brains together to write a book on their favorite ML algorithms. He hopes that this book will help him achieve his ultimate goal of becoming a data scientist and actively contributing to ML.

I would like to begin by thanking Ahmed for giving me this opportunity to work alongside him. Working on this book has been a better learning experience for me than college itself. Next, I would like to thank my mum dad and sister, who have continued to give me motivation and instilled in me the desire to succeed. Finally, I would like to thank my friends, without whose criticism I would have never grown so much as a human.