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Lynda - Machine Learning with ML.NET

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Added 5 years ago by tutsnode in Other
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Lynda - Machine Learning with ML.NET (Size: 1.03 GB)
  .pad
  0 55.31 KB
  1 133.17 KB
  2 389.66 KB
  3 205.16 KB
  4 189.66 KB
  5 508.83 KB
  6 178.5 KB
  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .txt 585 B
  [TutsNode.com] - Machine Learning with ML.NET
  1 ML.NET Machine learning introduction.en.srt 7.73 KB
  1 ML.NET Machine learning introduction.mp4 71.81 MB
  2 ML.NET introduction.en.srt 17.17 KB
  2 ML.NET introduction.mp4 170.37 MB
  3 Getting started with ML.NET.en.srt 24.58 KB
  3 Getting started with ML.NET.mp4 237.85 MB
  4 Build an ML model for sentiment analysis.en.srt 10.44 KB
  4 Build an ML model for sentiment analysis.mp4 88.83 MB
  5 Build an ML model for GitHub issue classification.en.srt 11.3 KB
  5 Build an ML model for GitHub issue classification.mp4 108.31 MB
  6 Build an ML model for predicting taxi fares.en.srt 9.86 KB
  6 Build an ML model for predicting taxi fares.mp4 106.5 MB
  7 Build an ML model for movie recommendations.en.srt 11.16 KB
  7 Build an ML model for movie recommendations.mp4 145.12 MB
  8 Deep learning with ML.NET Image classification.en.srt 8.98 KB
  8 Deep learning with ML.NET Image classification.mp4 123.8 MB

Description



Description

Welcome to Machine Learning with ML.NET. In this course, instructor Pranav Rastogi guides you through the concepts of machine learning, what you can build with these concepts, and how to get started. First, Pranav explains what ML.NET is and what you can do with the framework. He covers how to build a ML model for sentiment analysis of customer reviews and explains how to classify incoming GitHub issues into one of the many tags (labels) using a multiclass classification algorithm. Pranav shows you how to recommend movies for users using collaborative filtering-based recommendation approach. He concludes by discussing how deep learning enables many more scenarios, using sound, images, text and other data types.

This course was created by Microsoft.NET. We are pleased to host this training in our library.

Released 1/21/2021

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