Building intelligent systems : a guide to machine learning engineering Geoff Hulten

By:

Hulten, Geoff

Material type: Text

TextLanguage: Eng. Publication details: Apress 2020 Washington, USADescription: 339p. 17.81 x 2.11 x 25.4 cmISBN:

9781484246368

Subject(s):

DDC classification:

006.3 HUL

Summary: 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 System's 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.-

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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode
Books	Rashtriya Raksha University	006.3 HUL (Browse shelf(Opens below))		Available		8264

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 System's 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.-

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