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9780578328621

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A must read primer for any data science leader. Ilya has taken on the Herculean task of systemizing AI-based problem solving in a business setting, and has succeeded spectacularly. This book is of interest to all kinds of analytics practitioners as it comes with real-world examples for the curious, and an abundance of theoretical explanations for the audacious.'' -Suman Giri, Head of Data Science, Merck & Co. This is a unique book in that it dives into the depths of machine learning theory while still being organized around business applications and use-cases. By presenting a detailed understanding of machine learning algorithms alongside their applications, this text is versatile - applicable to a variety of users from technical students to data scientists and all the way to data and IT leadership. A very valuable addition to our Data Science world.'' -Ellie Magnant, Director of Data Science, UnitedHealth Group The book is a resource where algorithmic theory, algorithmic system design, and their applications are strongly tied to each other and discussed in depth. It offers a guide to technical leaders on how to make their systems more actionable, technically sound, and applicable at various scales. To business leaders, this book helps connect the dots and offers ideas on how to improve their current processes to have a meaningful communication with AI practitioners.'' -Addhyan Pandey, Senior Director, Data Science, Cars.com This textbook provides an ultimate guide to data scientists and AI engineers on building best-in-class AI capabilities to solve a wide spectrum of business problems. Furthermore, Ilya did a great job covering the end-to-end development lifecycle of AI solutions with practical case studies. Excellent book, Highly Recommended.'' -Fouad Bousetouane, Senior Principal Machine Data Scientist, W.W. Grainger, Inc. Timely and inspiring! An essential handbook for those seeking a primer on the data science community, from enthusiastic to novice to developers to resident experts interested in scalable enterprise AI and ML for any industry domain. Ilya paints a vision of what's possible and aligns it with the business problem to guide the journey toward solution options & architecture, model architecture, implementation plan, reference code, and modeling prototype. In addition, Ilya has created a very comprehensive framework for organizing and prioritizing the key building blocks of model representation and mapping, customer experience, content intelligence, revenue & inventory management, and production operations. With Ilya's breadth of experience in the field of enterprise AI, this book should be considered the de-facto reference guide for any organization undergoing a digital AI transformation. If you can't work directly with Ilya, this is a close second best! Enjoy, Learn & Apply... and watch what happens...'' -Srikanth Victory, Vice President, Digital Advanced Analytics & Products, CommonSpirit Health

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