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Designing Machine Learning Systems with Python

You're reading from Designing Machine Learning Systems with Python Key design strategies to create intelligent systems

Product type Paperback

Published in Apr 2016

Publisher

ISBN-13 9781785882951

Length 232 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1):

David Julian

View More author details

Table of Contents (11) Chapters

Preface

1. Thinking in Machine Learning FREE CHAPTER

2. Tools and Techniques

3. Turning Data into Information

4. Models – Learning from Information

5. Linear Models

6. Neural Networks

7. Features – How Algorithms See the World

8. Learning with Ensembles

9. Design Strategies and Case Studies

Index

Who this book is for

This book is for data scientists, scientists, or just the curious. You will need to know some linear algebra and some Python. You will need to have some basic knowledge of machine learning concepts.

The rest of the chapter is locked

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Authors (1)

David Julian

David Julian

David Julian is a freelance technology consultant and educator. He has worked as a consultant for government, private, and community organizations on a variety of projects, including using machine learning to detect insect outbreaks in controlled agricultural environments (Urban Ecological Systems Ltd., Bluesmart Farms), designing and implementing event management data systems (Sustainable Industry Expo, Lismore City Council), and designing multimedia interactive installations (Adelaide University). He has also written Designing Machine Learning Systems With Python for Packt Publishing and was a technical reviewer for Python Machine Learning and Hands-On Data Structures and Algorithms with Python - Second Edition, published by Packt.

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