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Building intelligent systems : a guide to machine learning engineering /

By: Material type: TextPublisher: New York : Apress, [2018]Copyright date: ©2018Description: xvi, 339 pages ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781484234310
  • 9781484234327
Subject(s): DDC classification:
  • 006.3 HUB 23
Contents:
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Book Non-borrowing Library D Engineering - CCAS 006.3 HUB (Browse shelf(Opens below)) Not For Loan 1004053
Book Library D Engineering 006.3 HUB (Browse shelf(Opens below)) Available 1004054
Book Library D Engineering 006.3 HUB (Browse shelf(Opens below)) Available 1004055
Total holds: 0

Includes index.

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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