November 2018
Beginner to intermediate
182 pages
4h 48m
English
We will use the fast.ai machine learning setup for this exercise. Their setup environment is great for personal experimentation and industry-grade proof-of-concept projects. I have used the fast.ai environment on both Linux and Windows. We will use Python 3.6 here since our code will not run for other Python versions.
A quick search on their forums will also take you to the latest instructions on how to set up the same on most cloud computing solutions including AWS, Google Cloud Platform, and Paperspace.
This environment covers the tools that we will use across most of the major tasks that we will perform: text processing (including cleaning), feature extraction, machine learning and deep learning ...
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