February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Who this book is for
The intended audience of this book is data scientists (both aspiring and professional), machine learning practitioners, and developers who want to learn how to implement the most common unsupervised algorithms and tune up their parameters in order to provide valuable insights to different stakeholders from all business areas.