Can I read Machine and Deep Learning Algorithms and Applications (Synthesis Lectures on Signal Processing) on EtoBox?

Machine and Deep Learning Algorithms and Applications (Synthesis Lectures on Signal Processing) by Uday Shankar Shanthamallu; Andreas Spanias is a nonfiction available to read on EtoBox.

What is Machine and Deep Learning Algorithms and Applications (Synthesis Lectures on Signal Processing) about?

**This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners**. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning to address a variety of needs and applications. The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and s

Who reads Machine and Deep Learning Algorithms and Applications (Synthesis Lectures on Signal Processing)?

Author

Uday Shankar Shanthamallu; Andreas Spanias

Publisher

Morgan & Claypool Publishers

Published

2021

Language

EN

ISBN

9783031037689

Category

nonfiction

Subjects

Engineering, Computer Science, Technology