December 2012
Intermediate to advanced
407 pages
10h 18m
English
Content preview from Pattern Recognition and Machine Learning
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Preface
Both pattern recognition and machine learning belong to the most advanced areas of software science. Numeric methods combined with artificial intelligence techniques have been especially successful for pattern recognition. Research in the area of learning is now recognized as a basic part of software science as well as having application to knowledge acquisition in artificial intelligence systems and contributing to understanding human cognition. We wrote this book to provide a basic knowledge of pattern recognition, learning notions, and the models and learning of neural networks.
This book has the following three properties:
(1) It explains both recognition using a computer and the basic methods of learning in one book.
(2) The first ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.