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AI & ML - Theoretical Approach

AI & ML - Theoretical Approach

Paperback

General Computers

ISBN10: 6207805461
ISBN13: 9786207805464
Publisher: LAP Lambert Academic Publishing
Published: Jun 17 2024
Pages: 224
Weight: 0.74
Height: 0.51 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

Gupta, Deepak

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General Computers