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Applied Unsupervised Learning With Python Benjamin Johnston

  • SKU: BELL-170541918
Applied Unsupervised Learning With Python Benjamin Johnston
$ 31.00 $ 45.00 (-31%)

5.0

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Applied Unsupervised Learning With Python Benjamin Johnston instant download after payment.

Publisher: Packt Publishing
File Extension: EPUB
File size: 21.95 MB
Author: Benjamin Johnston
Language: English
Year: 2019

Product desciption

Applied Unsupervised Learning With Python Benjamin Johnston by Benjamin Johnston instant download after payment.

Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data

Key Features

  • Learn how to select the most suitable Python library to solve your problem
  • Compare k-Nearest Neighbor (k-NN) and non-parametric methods and decide when to use them
  • Delve into the applications of neural networks using real-world datasets

    Book Description

    Unsupervised learning is a useful and practical solution in situations where labeled data is not available.

    Applied Unsupervised Learning with Python guides you on the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The course begins by explaining how basic clustering works to find similar data points in a set. Once you are well versed with the k-means algorithm and how it operates, you'll learn what dimensionality reduction is and where to apply it....

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