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Prosise Jeff Prosise Foreword by Adam Prosise Applied Machine Learning and AI for Engineers Solve Business Problems That Can't Be Solved Algorithmically
MACHINE LEARNING “If you want to understand how AI and ML really work under the hood, and how these technologies have evolved and come to be, READ THIS BOOK.” —Todd Fine Chief Strategy Officer, Atmosera “Reading this book will make you want to go build something.” —Doug Turnure Azure Specialist, Microsoft Applied Machine Learning and AI for Engineers US $69.99 CAN $87.99 ISBN: 978-1-492-09805-8 Twitter: @oreillymedia linkedin.com/company/oreilly-media youtube.com/oreillymedia While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There’s no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: • Learn what machine learning and deep learning are and what they can accomplish • Understand how popular learning algorithms work and when to apply them • Build machine learning models in Python with Scikit- Learn, and neural networks with Keras and TensorFlow • Train and score regression models and binary and multiclass classification models • Build facial recognition models and object detection models • Build language models that respond to natural-language queries and translate text to other languages • Use Cognitive Services to infuse AI into the apps that you write Jeff Prosise is an engineer whose passion is to introduce engineers and software developers to the wonders of AI and machine learning. Cofounder of Wintellect, he has trained thousands of developers at Microsoft and spoken at some of the world’s largest software conferences. In another life, Jeff worked on high-powered laser systems and fusion energy research at Oak Ridge National Laboratory and Lawrence Livermore National Laboratory. He currently serves as Chief Learning Officer at Atmosera, where he helps customers infuse AI into their products.
Praise for Applied Machine Learning and AI for Engineers This book is a fantastic guide to machine learning and AI algorithms. It’s succinct while being comprehensive, and the concrete examples with working code show how to take the theory into practice. —Mark Russinovich, Azure CTO and Technical Fellow, Microsoft When Jeff Prosise is passionate about something (whether it be technology, his pet yellow-nape Amazon “Hawkeye,” or his hobby of building and flying radio-controlled jets), you definitely want to listen in. He combines that passion with a clarity of explanation that enables him to communicate and teach complex topics better than anyone I’ve ever known. He brings you along on a personal journey of learning and understanding. Now Jeff brings these skills to the current and ongoing “technological tsunami” (as he puts it) of machine learning and AI. In this new book, he builds your understanding from the foundations up, always emphasizing an intuitive approach and connecting concepts and solutions to the real world. If you want to understand how AI and ML really work under the hood, and how these technologies have evolved and come to be, READ THIS BOOK. —Todd Fine, Chief Strategy Officer, Atmosera Jeff distills years of working AI/ML knowledge into a practical and understandable guide for practitioners of all levels. —Ken Muse, 4x Azure MVP and Senior DevOps Architect, GitHub
Applied Machine Learning and AI for Engineers is the book I wish I had when first introduced to machine learning. It’s a fantastic introduction for novice ML engineers and a great reference for those more experienced. It is now my go-to source when refreshing and enhancing my understanding of various ML techniques and their applicability. I love that Jeff uses real-world examples and datasets to demonstrate each tool set and approach. Just like a neural net, I have no idea how Jeff came up with this material, but it’s tremendously useful all the same. —Brent Rector, Principal Technical Program Manager, Amazon; Founder, Wise Owl Consulting, LLC, Wise Owl Aviation Services, LLC, and Rector Aviation Law PC I’ve known Jeff for decades and he has always possessed the ability to plainly explain complicated concepts. He has done it again with Applied Machine Learning and AI for Engineers. The examples, analogies, and color figures make the material truly understandable for the beginner to the more advanced reader. —Jeffrey Richter, Software Architect, Microsoft This book fills an extremely important gap for engineers and scientists that want to bring the power of AI to bear on their most challenging data analysis problems. It strikes just the right balance between technical depth and practical application, with tools and many hands-on examples, to empower the reader to become an effective AI practitioner in their own application domain (including business, science, and other data-rich fields). —Shaun S. Gleason, PhD, Director, Cyber Resilience and Intelligence, Oak Ridge National Laboratory Applied Machine Learning and AI for Engineers has the potential to become the go-to for ML and AI enthusiasts. What sets this book apart is how relevant the problem statements are in today’s fast-paced adoption of machine learning in the tech world. A must-read for newbies and professionals alike! —Lipi Deepaakshi Patnaik, Software Development Engineer, Zeta Suite Jeff has always been able to wrap great stories around deep technical concepts that make learning markedly easier. This might be his best book yet, and perhaps his most relevant subject matter as well. Reading this book will make you want to go build something. —Doug Turnure, Azure Specialist, Microsoft