Skip to Content
Python: Real World Machine Learning
book

Python: Real World Machine Learning

by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
November 2016
Beginner to intermediate
941 pages
21h 55m
English
Packt Publishing
Content preview from Python: Real World Machine Learning

Python packages

The packages that we are going to introduce in the present paragraph will be frequently used in the book. If you are not using a scientific distribution, we offer you a walkthrough on what versions you should decide on and how to install them quickly and successfully.

NumPy

NumPy, which is Travis Oliphant's creation, is at the core of every analytical solution in the Python language. It provides the user with multidimensional arrays along with a large set of functions to operate multiple mathematical operations on these arrays. Arrays are blocks of data arranged along multiple dimensions, which implement mathematical vectors and matrices. Arrays are useful not just to store data, but also for fast matrix operations (vectorization), ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Interpretable Machine Learning with Python

Interpretable Machine Learning with Python

Serg Masís
Large Scale Machine Learning with Python

Large Scale Machine Learning with Python

Luca Massaron, Alberto Boschetti, Bastiaan Sjardin

Publisher Resources

ISBN: 9781787123212Supplemental ContentPurchase Link