Dino Esposito

(Author)

Programming ML.NetPaperback, 14 April 2022

Programming ML.Net
Qty
1
Turbo
Ships in 2 - 3 days
Only 2 left
Free Delivery
Cash on Delivery
15 Days
Free Returns
Secure Checkout
Buy More, Save More
Part of Series
Developer Reference
Print Length
256 pages
Language
English
Publisher
Microsoft Press
Date Published
14 Apr 2022
ISBN-10
0137383657
ISBN-13
9780137383658

Description

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

Product Details

Authors:
Dino EspositoFrancesco Esposito
Book Format:
Paperback
Country of Origin:
US
Date Published:
14 April 2022
Dimensions:
22.61 x 18.29 x 2.54 cm
ISBN-10:
0137383657
ISBN-13:
9780137383658
Language:
English
Pages:
256
Publisher:
Weight:
544.31 gm

Need Help?
+971 6 731 0280
support@gzb.ae

About UsContact UsPayment MethodsFAQsShipping PolicyRefund and ReturnTerms of UsePrivacy PolicyCookie Notice

VisaMastercardCash on Delivery

© 2024 White Lion General Trading LLC. All rights reserved.