£121.46

Morgan Kaufmann - Many-Sorted Algebras for Deep Learning

Name: Morgan Kaufmann - Many-Sorted Algebras for Deep Learning
Brand: Morgan Kaufmann
Price: 121.46 GBP
Availability: InStock

Computer Science

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Description

Many-Sorted Algebras for Deep Learning and Quantum Technology provides a precise and rigorous description of basic concepts in quantum technologies. This book explores how these concepts relate to deep learning and quantum theory, offering a necessary resource for those studying the merging of these two fields. As quantum theory and deep learning techniques continue to merge, there is a growing need for a source that provides insight into the algebraic underpinnings of these disciplines. While many areas in these fields employ analytical, topological, probabilistic, and geometrical concepts, algebra serves as the principal thread. This text exposes that connection using many-sorted algebras, making it a valuable addition to your computer science library. Whether you are researching quantum theory or deep learning, this Morgan Kaufmann publication offers the mathematical foundation required to understand these complex subjects.

Key Features

Provides a rigorous description of basic concepts in quantum technologies and their relationship to deep learning.

Explores the algebraic underpinnings required to understand the merging of quantum theory and deep learning techniques.

Uses many-sorted algebras to expose the principal algebraic thread found across various scientific disciplines.

Addresses the connection between analytical, topological, probabilistic, and geometrical concepts through an algebraic lens.

Serves as a specialized resource for readers interested in the intersection of quantum theory and computer science.

Product Specifications

Brand: Morgan Kaufmann
Format: paperback
ASIN: 0443136971
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 14 February 2024
Listed Since: 24 May 2023

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Morgan Kaufmann - Many-Sorted Algebras for Deep Learning

New to our records — first sighting 22 days ago. We'll learn its rhythm.

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