Pages: 340 Published: March 2020 ISBN: 9781680506600
Programming Machine Learning
From Coding to Deep Learning
by Paolo Perrotta
You’ve decided to tackle machine learning — because you’re job
hunting, embarking on a new project, or just think self-driving cars are
cool. But where to start? It’s easy to be intimidated, even as a
software developer. The good news is that it doesn’t have to be that
hard. Conquer machine learning by writing code one line at a time, from
simple learning programs all the way to a true deep learning system.
Tackle the hard topics by breaking them down so they’re easier to
understand, and build your confidence by getting your hands dirty.
Peel away the obscurities of machine learning, starting from scratch and
going all the way to deep learning. Machine learning can be
intimidating, with its reliance on math and algorithms that most
programmers don’t encounter in their regular work. Take a hands-on
approach, writing the Python code yourself, without any libraries to
obscure what’s really going on. Iterate on your design, and add layers
of complexity as you go.
Build an image recognition application from scratch with supervised
learning. Predict the future with linear regression. Dive into gradient
descent, a fundamental algorithm that drives most of machine learning.
Create perceptrons to classify data. Build neural networks to tackle
more complex and sophisticated data sets. Train and refine those
networks with backpropagation and batching. Layer the neural networks,
eliminate overfitting, and add convolution to transform your neural
network into a true deep learning system.
Start from the beginning and code your way to machine learning mastery.
The examples in this book are written in Python, but don’t worry if you
don’t know this language: you’ll pick up all the Python you need very
quickly. Apart from that, you’ll only need your computer, and your
Paolo Perrotta is a traveling software mentor. He wrote
“Metaprogramming Ruby” for the Pragmatic Programmers, and produced the
popular “How Git Works” training for Pluralsight. He speaks a lot — at
conferences and, according to his friends and family, pretty much