Python Machine Learning Projects
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.
Table of contents
- 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
| Pages : | 135 |
| Size : | 2.1 MB |
| File type : | |
| Downloads: | 133 |
| Created: | 2022-02-03 |
| License: | CC BY-NC-SA |
| Author(s): | Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan |
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Others machine learning Tutorials
Machine Learning for Cyber Physical Systems
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
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