Isbn: 9786209658556 - ai & ml - theoretical approach: artificial intelligence and machine learning second edition (4 Ergebnisse)

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 224 pp. Englisch.

Taschenbuch. Zustand: Neu. AI & ML - THEORETICAL APPROACH | Artificial Intelligence and Machine Learning Second Edition | Deepak Gupta (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209658556 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…