Skip to main content

Introduction and Motivation

  • Chapter
  • First Online:
Analysis and Design of Machine Learning Techniques
  • 3877 Accesses

Abstract

From a computational perspective, it is fascinating to see how fast humans or animals adapt to new, unforeseen situations. While an ordinary computer program can only handle foreseen situations it is applied to, humans are able to quickly estimate suitable behavior for new, unknown scenarios. A notable exception are Machine Learning (ML) algorithms that learn behavior based on some kind of optimization criterion. “Behavior of a computer program” may be a simple yes or no decision, or a rational choice of a robot’s next action.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Stalph .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Fachmedien Wiesbaden

About this chapter

Cite this chapter

Stalph, P. (2014). Introduction and Motivation. In: Analysis and Design of Machine Learning Techniques. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-04937-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-04937-9_1

  • Published:

  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-04936-2

  • Online ISBN: 978-3-658-04937-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics