As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions — sometimes without final input from humans who may be impacted by these findings — it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning to help ensure that it is serving us all.
This book will set you up with a Python programming environment if you don’t have one already, then provide you with a conceptual understanding of machine learning in the chapter “An Introduction to Machine Learning.” What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari.
These chapters originally appeared as articles on DigitalOcean Community, written by members of the international software developer community. If you are interested in contributing to this knowledge base, consider proposing a tutorial to the Write for DOnations program. DigitalOcean offers payment to authors and provides a matching donation to tech-focused nonprofits.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY-NC-SA). You can download the ebook Python Machine Learning Projects for free.
- Title
- Python Machine Learning Projects
- Publisher
- DigitalOcean
- Author(s)
- Alvin Wan, Ellie Birkbeck, Lisa Tagliaferri, Michelle Morales
- Published
- 2019-05-02
- Edition
- 1
- Format
- eBook (pdf, epub, mobi)
- Pages
- 138
- Language
- English
- ISBN-10
- 099977302X
- ISBN-13
- 9780999773024
- License
- CC BY-NC-SA
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
Foreword Setting Up a Python Programming Environment An Introduction to Machine Learning How To Build a Machine Learning Classifier in Python with Scikit-learn How To Build a Neural Network to Recognize Handwritten Digits with TensorFlow Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym