Paolo Notes: 

This is probably my favorite system level machine learning book for both general and technical managers. The book correctly does not focus on math or coding but rather processes and building blocks. The manager can appreciate both how to build a machine learning process and what are the process criticalities that he will have to face. While many academic books focus on mathematical concepts, this books explains the practical consequences of some concepts such as recall or precision etc.. It focuses on how sometimes it is better to build hybrid systems and much more…Great book

 

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.