AI & ML - THEORETICAL APPROACH | Artificial Intelligence and Machine Learning

Deepak Gupta (u. a.)

ISBN 10: 6207805461 / ISBN 13: 9786207805464

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

AI & ML - THEORETICAL APPROACH | Artificial Intelligence and Machine Learning | Deepak Gupta (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207805464 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 129624509

Bibliographic Details

• Title: AI & ML - THEORETICAL APPROACH | Artificial Intelligence and Machine Learning
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6207805461
• ISBN 13: 9786207805464
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 15D millimeters 220 millimeters width by 150 millimeters height by 15 millimeters depth
• Weight: 352 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. The chapter introduces the history of AI, its key components, and various types including narrow AI and general AI. It discusses the significance of AI in modern technology and its potential impact on various industries. Machine Learning (ML) is a subset of AI that involves the use of algorithms and statistical models to enable computers to perform specific tasks without using explicit instructions. This chapter covers the basics of ML, including supervised, unsupervised, and reinforcement learning. It also highlights the importance of data in ML and the different types of algorithms used in machine learning.