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  3. Machine learning

Managing Machine Learning Projects

Af: Simon Thompson Engelsk Hardback

Managing Machine Learning Projects

Af: Simon Thompson Engelsk Hardback
Tjek vores konkurrenters priser

The go-to guide in machine learning projects from design to production. No ML skills required!

In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including:

  • Understanding an ML project''s requirements
  • Setting up the infrastructure for the project and resourcing a team
  • Working with clients and other stakeholders
  • Dealing with data resources and bringing them into the project for use
  • Handling the lifecycle of models in the project
  • Managing the application of ML algorithms
  • Evaluating the performance of algorithms and models
  • Making decisions about which models to adopt for delivery
  • Taking models through development and testing
  • Integrating models with production systems to create effective applications
  • Steps and behaviours for managing the ethical implications of ML technology

About the technology

Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects.

You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear — this book lays out the unique practices you will need to ensure your projects succeed!

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Tjek vores konkurrenters priser
Normalpris
kr 488
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

The go-to guide in machine learning projects from design to production. No ML skills required!

In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including:

  • Understanding an ML project''s requirements
  • Setting up the infrastructure for the project and resourcing a team
  • Working with clients and other stakeholders
  • Dealing with data resources and bringing them into the project for use
  • Handling the lifecycle of models in the project
  • Managing the application of ML algorithms
  • Evaluating the performance of algorithms and models
  • Making decisions about which models to adopt for delivery
  • Taking models through development and testing
  • Integrating models with production systems to create effective applications
  • Steps and behaviours for managing the ethical implications of ML technology

About the technology

Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects.

You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear — this book lays out the unique practices you will need to ensure your projects succeed!

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 275
ISBN-13: 9781633439023
Indbinding: Hardback
Udgave:
ISBN-10: 163343902X
Kategori: Machine learning
Udg. Dato: 22 aug 2023
Længde: 18mm
Bredde: 237mm
Højde: 188mm
Forlag: Manning Publications
Oplagsdato: 22 aug 2023
Forfatter(e): Simon Thompson
Forfatter(e) Simon Thompson

Kategori Machine learning

ISBN-13 9781633439023

Sprog Engelsk

Indbinding Hardback

Sider 275

Udgave

Længde 18mm

Bredde 237mm

Højde 188mm

Udg. Dato 22 aug 2023

Oplagsdato 22 aug 2023

Forlag Manning Publications

Kategori sammenhænge