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Python 无监督学习实用手册(机翻) by it-ebooks is a nonfiction available to read on EtoBox.

What is Python 无监督学习实用手册(机翻) about?

Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more Build your own neural network models using modern Python libraries Practical examples show you how to implement different machine learning and deep learning techniques Book Description Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python. This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including rand

Who reads Python 无监督学习实用手册(机翻)?

Author

it-ebooks

Publisher

iBooker it-ebooks

Published

2019

Language

EN

ISBN

9781789349276

Category

nonfiction

Subjects

Computer Science, Science, Stem

Rating

3.72 / 5 (29 ratings)

Updated

2026-03-13