Description 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.
He speaks a lot - at conferences and, according to his friends and family, pretty much anywhere else..
He wrote MetaProgramming Ruby for the Pragmatic Programmers, and produced the popular "How Git Works" training for Pluralsight.
About the Author Paolo Perrotta is a traveling software mentor.
Apart From that, you\'ll only need your computer, and your code-adept brain.
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.
Start From the beginning and code your way to Machine Learning mastery.
Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true Deep Learning system.
Train and refine those networks with backpropagation and batching.
Build neural networks to tackle more complex and sophisticated data sets.
Create perceptrons to classify data.
Dive into gradient descent, a fundamental algorithm that drives most of Machine learning.
Predict the future with linear regression.
Build an image recognition application From scratch with supervised learning.
Iterate on your design, and add layers of complexity as you go.
Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what\'s really going on.
Machine Learning can be intimidating, with its reliance on math and algorithms that most programmers don\'t encounter in their regular work.
Peel away the obscurities of Machine learning, starting From scratch and going all the way to Deep learning.
Tackle the hard topics by breaking them down so they\'re easier to understand, and build your confidence by getting your hands dirty.
Master Machine Learning by writing code one line at a time, From simple Learning programs all the way to a true Deep Learning system.
The good news is that it doesn\'t have to be that hard.
But where to start? It\'s easy to be intimidated, even as a software developer.
Description 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
