Programming Machine Learning
Author | : Paolo Perrotta |
Publisher | : |
Total Pages | : 0 |
Release | : 2020 |
ISBN-10 | : 1680506609 |
ISBN-13 | : 9781680506600 |
Rating | : 4/5 (600 Downloads) |
Download or read book Programming Machine Learning written by Paolo Perrotta and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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."--Page 4 de la couverture.