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Building Intelligent Systems: A Guide to Machine Learning Engineering
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About Building Intelligent Systems: A Guide To Machine
Product Description Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You'll Learn: Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Achieve your objectives and produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want This Book Is For: Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems. From the Inside Flap Introduction BuildingIntelligent Systems is a book about leveraging machine learning in practice. It covers everything you need to produce a fully functioning Intelligent System,one that leverages machine learning and data from user interactions to improve over time and achieve success. After reading this book you'll be able to design an Intelligent System end-to-end.You'll know: When to use an Intelligent System and how to make it achieve your goals. How to design effective interactions between users and Intelligent Systems. How to implement an Intelligent System across client, service, and back end. How to build the intelligence that powers an Intelligent System and grow it overtime. How to orchestrate an Intelligent System over its life-cycle. You'll also understand how to apply your existing skills, whether in software engineering, data science, machine learning, management or program management to the effort. There are many great books that teach data and machine-learning skills. Those books are similar to books on programming languages; they teach valuable skills in great detail. This book is more like a book on software engineering; it teaches how to take those base skills and produce working systems. This book is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. I hope this book helps accelerate the proliferation of systems that turn data into impact and helps readers develop practical skills in this important area. Who This Book Is For This book is for anyone with a computer science degree who wants to understand what it takes to build effective Intelligent Systems. Imagine a typical software engineer who is assigned to a machine learning project. They want to learn more about it so they pick up a book, and it is technical, full of statistics and math and modeling methods. These are important skills, but they are the wrong information to help the software engineer contribute to the effort. Building Intelligent Systems is the right book for them. Imagine a machine learning practitioner who needs to understand how the end-to-end system will interact with the models they produce, what they can count on, and what they need to look out for in practice. Building Intelligent Systems is the right book for them. Imagine a technical manager who wants to begin benefiting from machine learnin
