Description
Apress Building Intelligent Systems: A Guide To Machine Learning Engineering by Geoff Hulten
Part 1: Approaching An Intelligent System Project.- Chapter 1: Introducing Intelligent Systems.- Chapter 2: Knowing When To Use Intelligent Systems.- Chapter 3: A Brief Refresher On Working With Data.- Chapter 4: Defining The Intelligent SystemS Goals.- Part 2: Intelligent Experiences.- Chapter 5: The Components Of Intelligent Experiences.- Chapter 6: Why Creating Intelligence Experiences Is Hard.- Chapter 7: Balancing Intelligent Experiences.- Chapter 8: Modes Of Intelligent Interaction.- Chapter 9: Getting Data From Experience.- Chapter 10: Verifying Intelligent Experiences.- Part 3: Implementing Intelligence.- Chapter 11: The Components Of An Intelligence Implementation.- Chapter 12: The Intelligence Runtime.- Chapter 13: Where Intelligence Lives.- Chapter 14: Intelligence Management.- Chapter 15: Intelligent Telemetry.- Part 4: Creating Intelligence.- Chapter 16: Overview Of Intelligence.- Chapter 17: Representing Intelligence.- Chapter 18: The Intelligence Creation Process.- Chapter 19: Evaluating Intelligence.- Chapter 20: Machine Learning Intelligence.- Chapter 21: Organizing Intelligence.- Part 5: Orchestrating Intelligent Systems.- Chapter 22: Overview Of Intelligence Orchestration.- Chapter 23: The Intelligence Orchestration Environment.- Chapter 24: Dealing With Mistakes.- Chapter 25: Adversaries And Abuse.- Chapter 26: Approaching Your Own Intelligent System.-