Mathematics applied to artificial intelligence | Making sense of linear algebra and statistics through machine learning and deep learning.

Dieuveil Mabirou

ISBN 10: 6208803691 / ISBN 13: 9786208803698

Published by Our Knowledge Publishing, 2025

About this Item

Mathematics applied to artificial intelligence | Making sense of linear algebra and statistics through machine learning and deep learning. | Dieuveil Mabirou | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786208803698 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 131908295

Bibliographic Details

• Title: Mathematics applied to artificial intelligence | Making sense of linear algebra and statistics through machine learning and deep learning.
• Publisher: Our Knowledge Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208803691
• ISBN 13: 9786208803698
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 113 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The book Mathematics applied to artificial intelligence is about the application of mathematics in artificial intelligence and computer science in general. Learning mathematics without having a clear idea of its applicability in the real world inhibits learning. This book solves this problem by establishing the close link between the algorithms used to develop the intelligent systems we use every day and certain concepts in linear algebra, statistics and probability that are taught from high school through to university. The book also includes code to help potential readers get started in computer coding by learning the Python programming language, the most widely used in artificial intelligence.