Can I read Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics on EtoBox?

Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics by Max A. Little; is a nonfiction available to read on EtoBox.

What is Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics about?

This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications. Digital signal processing (DSP) is one of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference. DSP and statistical machine learning are of such wide importance to the knowledge

Who reads Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics?

Author

Max A. Little;

Publisher

Oxford University PressOxford

Published

2019

Language

EN

ISBN

9780191024313

Category

nonfiction

Subjects

Technology, Science, Engineering