Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow /

Bibliografski detalji
Glavni autori:	Coelho, Luis Pedro (Autor), Richert, Willi (Autor), Brucher, Matthieu (Autor)
Format:	Licensed eBooks
Jezik:	engleski
Izdano:	Birmingham, UK : Packt Publishing, 2018.
Izdanje:	Third edition.
Online pristup:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1862371

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Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
Contributors
Table of Contents
Preface
Chapter 1: Getting Started with Python Machine Learning
Chapter 2: Classifying with Real-World Examples
Chapter 3: Regression
Chapter 4: Classification I
Detecting Poor Answers
Chapter 5: Dimensionality Reduction
Chapter 6: Clustering
Finding Related Posts
Chapter 7: Recommendations
Chapter 8: Artificial Neural Networks and Deep Learning
Chapter 9: Classification II
Sentiment Analysis
Chapter 10: Topic Modeling
Chapter 11: Classification III
Music Genre Classification
Chapter 12: Computer Vision
Chapter 13: Reinforcement Learning
Chapter 14: Bigger Data
Where to Learn More About Machine Learning
Other Books You May Enjoy
Index.

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