EAN: 9781680506600

PROGRAMMING MACHINE LEARNING - PAOLO PERROTTA T...

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. Master 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. What
You Need: 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 code-adept brain.

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