Approaching (Almost) Any Machine Learning Problem
Before you start, there are a few things that you must be aware of while going
through this book.
This is not a traditional book.
The book expects you to have basic knowledge of machine learning and deep
learning.
Important terms are bold.
Variable names and function/class names are italic.
═════════════════════════════════════════════════════════════════════════
All the code is between these two lines
═════════════════════════════════════════════════════════════════════════
Most of the times, the output is provided right after the code blocks.
Figures are locally defined. For example, figure 1 is the first figure
Code is very important in this book and there is a lot of it. You must go through
the code carefully and implement it on your own if you want to understand what’s
going on.
Comments in Python begin with a hash (#). All the code in this book is explained
line-by-line only using comments. Thus, these comments must not be ignored.
Bash commands start with $ or ❯.
If you find a pirated copy of this book (print or e-book or pdf), contact me directly
with the details so that I can take necessary actions.
If you didn’t code, you didn’t learn.
