Book

Building Machine Learning Systems with Python

Machine learning allows models or systems to learn without being explicitly programmed. You will see how to use the best of libraries support such as scikit-learn, Tensorflow and much more to build efficient smart systems.

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Difficulty Level

Intermediate

Completion Time

13h32m

Language

English

About Book

Who Is This Book For?

This book is for data scientists, machine learning developers, and Python developers who want to learn how to build increasingly complex machine learning systems. Prior knowledge of Python programming is expected.

Book content

chapters 13h32m total length

Getting Started with Python Machine Learning

Classifying with Real-world Examples

Regression

Classification I – Detecting Poor Answers

Dimensionality Reduction

Clustering – Finding Related Posts

Recommendations

Artificial neural Networks & Deep Learning

Classification II – Sentiment Analysis

Topic Modeling

Classification III – Music Genre Classification

Computer Vision

Reinforcement Learning

Bigger Data

Related Resources

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