July 2018
Beginner to intermediate
406 pages
9h 55m
English
book
Building Machine Learning Systems with Python - Third Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Content preview from Building Machine Learning Systems with Python - Third Edition
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
To get the most out of this book
This book assumes you know Python and how to install a library using easy_install or pip. We do not rely on any advanced mathematics, such as calculus or matrix algebra. We are using the following versions throughout the book, but you should be fine with any more recent ones:
- Python 3.5
- NumPy 1.13.3
- SciPy 1.0.0
- scikit-learn latest version
All examples are available as Jupyter notebooks in our code bundle (https://github.com/PacktPublishing/Building-Machine-Learning-Systems-with-Python-Third-edition).
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