did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

Programming ML.NET

9780137383658

Programming ML.NET

  • ISBN 13:

    9780137383658

  • ISBN 10:

    0137383657

  • Edition: 1st
  • Format: Paperback
  • Copyright: 04/14/2022
  • Publisher: Microsoft Press

List Price $49.99 Save

Rent $33.40
TERM PRICE DUE
Added Benefits of Renting

Free Shipping Both Ways Free Shipping Both Ways
Highlight/Take Notes Like You Own It Highlight/Take Notes Like You Own It
Purchase/Extend Before Due Date Purchase/Extend Before Due Date

List Price $49.99 Save $1.74

New $48.25

Usually Ships in 2-3 Business Days

We Buy This Book Back We Buy This Book Back!

Included with your book

Free Shipping On Every Order Free Shipping On Every Order

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Extend or Purchase Your Rental at Any Time

Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.

Summary

The expert guide to creating production machine learning solutions with ML.NET!

 

ML.NET brings the power of machine learning to all .NET developers— and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Esposito’s best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsoft’s team used to build ML.NET itself. After a foundational overview of ML.NET’s libraries, the authors illuminate mini-frameworks (“ML Tasks”) for regression, classification, ranking, anomaly detection, and more. For each ML Task, they offer insights for overcoming common real-world challenges. Finally, going far beyond shallow learning, the authors thoroughly introduce ML.NET neural networking. They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network— showing how to leverage popular Python tools within .NET.


14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to:

  • Build smarter machine learning solutions that are closer to your user’s needs
  • See how ML.NET instantiates the classic ML pipeline, and simplifies common scenarios such as sentiment analysis, fraud detection, and price prediction
  • Implement data processing and training, and “productionize” machine learning–based software solutions
  • Move from basic prediction to more complex tasks, including categorization, anomaly detection, recommendations, and image classification
  • Perform both binary and multiclass classification
  • Use clustering and unsupervised learning to organize data into homogeneous groups
  • Spot outliers to detect suspicious behavior, fraud, failing equipment, or other issues
  • Make the most of ML.NET’s powerful, flexible forecasting capabilities
  • Implement the related functions of ranking, recommendation, and collaborative filtering
  • Quickly build image classification solutions with ML.NET transfer learning
  • Move to deep learning when standard algorithms and shallow learning aren’t enough
  • “Buy” neural networking via the Azure Cognitive Services API, or explore building your own with Keras and TensorFlow

Author Biography

Read more