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Machine Learning Projects - DigitalOcean

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 978-0-9997730-2-4 Python Machine Learning ProjectsWritten by Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, andAlvin Wan, with editing by Brian Hogan and Mark DrakeDigitalOcean, New York City, New York, USAP ython Machine Learning Projects1. Foreword2. Setting Up a Python Programming Environment3. An introduction to Machine Learning4. How To Build a Machine Learning Classifier in Python with Scikit-learn5. How To Build a Neural Network to Recognize Handwritten Digits withTensorFlow6. Bias-Variance for deep reinforcement Learning : How To Build a Botfor Atari with OpenAI GymForewordAs Machine Learning is increasingly leveraged to find patterns, conductanalysis, and make decisions without final input from humans, it is ofequal importance to not only provide resources to advance algorithmsand methodologies, but to also invest in bringing more stakeholders intothe fold.

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 ...

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Machine Learning Projects - DigitalOcean

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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 at

  Machine, Learning, Tutorials, Reinforcement, A tutorial, Machine learning, Reinforcement learning

International License. This work is licensed under a ...

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. ISBN 978-0-9997730-3-1. Kubernetes for Full-Stack Developers Compiled by Jamon Camisso, Hanif Jetha, Katherine Juell DigitalOcean, New …

  Creative, License, Common, Attribution, Noncommercial, Sharealike, Kubernetes, Creative commons attribution

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