Paolo Perrotta @nusco
edited by Katharine Dvorak @katied
Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don’t encounter in their regular work. The good news is that it doesn’t have to be that hard. 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.
"Let me say that I think this is a brilliant book. It takes the reader step by step through the thinking behind machine learning. Combine that with Paolo’s fun approach and this is the book I’d suggest every machine learning neophyte start with."
Russ Olsen, Author, Getting Clojure and Eloquent Ruby
- Full details: https://pragprog.com/book/pplearn/programming-machine-learning
- View this book’s portal and details on how to post errata and suggestions here.
Don’t forget you can get 35% off with your Devtalk discount! Just use the coupon code “devtalk.com" at checkout
Latest Threads About This Book
Most Active This Week
Most Active This Month
Most Active This Year
Most Active Last Three Years
Are you this book's author? To be notified of all posts made about it, sign up an account then click here, then select 'watching' from the bell icon in the top right corner.
Get money off!
The Pragmatic Bookshelf
35% off any eBook
Simply use coupon code "devtalk.com" at checkout. See full details here.
We ❤️ helpful members!
We reward our most helpful members via our MOTM scheme - by giving away a whopping 50 books per year!