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Python Machine Learning Cookbook

You're reading from   Python Machine Learning Cookbook 100 recipes that teach you how to perform various machine learning tasks in the real world

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781786464477
Length 304 pages
Edition 1st Edition
Languages
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Authors (2):
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Vahid Mirjalili Vahid Mirjalili
Author Profile Icon Vahid Mirjalili
Vahid Mirjalili
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Realm of Supervised Learning FREE CHAPTER 2. Constructing a Classifier 3. Predictive Modeling 4. Clustering with Unsupervised Learning 5. Building Recommendation Engines 6. Analyzing Text Data 7. Speech Recognition 8. Dissecting Time Series and Sequential Data 9. Image Content Analysis 10. Biometric Face Recognition 11. Deep Neural Networks 12. Visualizing Data Index

Index

A

  • accuracy
    • evaluating, with cross validation / Getting ready…
  • AdaBoost / Estimating housing prices
  • Adaptive Boosting technique
    • reference / Building a face detector using Haar cascades
  • Affinity Propagation / Finding patterns in stock market data
  • agglomerative clustering
    • about / Grouping data using agglomerative clustering
    • reference / Grouping data using agglomerative clustering
    • used, for grouping data / How to do it…
  • audio data
    • reading / Reading and plotting audio data, How to do it…
    • plotting / Reading and plotting audio data, How to do it…
  • audio signal
    • transforming, into frequency domain / Transforming audio signals into the frequency domain, How to do it…
  • audio signals
    • generating, custom parameters used / Generating audio signals with custom parameters, How to do it…

B

  • bag-of-words model
    • building / Building a bag-of-words model, How to do...
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