£99.31

Wiley Machine and Deep Learning Using MATLAB - Technical Guide

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Description
Machine and Deep Learning Using MATLAB serves as an in-depth resource for scientists and engineers looking to master modern computational methods. This guide provides a comprehensive look at machine and deep learning algorithms through the lens of MATLAB tools, offering clear insights into algorithmic decision-making processes. Designed specifically for early career professionals, this book explains how to leverage the power of MATLAB to explore various applications. It goes beyond simple instructions by detailing how specific MATLAB tools or apps function for a given method or collection of methods. Users will gain a better understanding of how to implement these complex technologies in real-world scenarios. By studying this text, you will learn about the properties of different methods, including input and output arguments. The book also helps you navigate technical challenges by indicating the limitations and applicability of various tools via accompanying text and tables. This makes it a practical companion for anyone building a foundation in machine learning and deep learning using MATLAB.

Key Features

Provides an in-depth exploration of machine and deep learning methods using specialized MATLAB algorithms and tools.

Designed for early career professionals to help them explore various machine and deep learning applications effectively.

Explains specific MATLAB tools and apps to show exactly how they are used for different methods or collections of methods.

Details technical properties including input and output arguments to ensure accurate implementation of algorithms.

Includes tables and text that indicate the limitations and applicability of specific tools for better decision-making.

Product Specifications
Brand
Wiley
Format
hardcover
ASIN
1394209088
Category
Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain
Amazon UK
Release Date
16 October 2023
Listed Since
29 March 2023

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