Abstract
AbstractThis chapter provides an introduction to machine learning for a non-technical readership. Machine learning is an approach to artificial intelligence. The chapter thus starts with a brief history of artificial intelligence in order to put machine learning into this broader scientific context. We then describe the main general concepts of machine learning. Readers with a background in computer science may skip this chapter.
Reference34 articles.
1. Samuel AL (1959) Some studies in machine learning using the game of checkers. IBM J Res Dev 3(3):210–229
2. Russell S, Norvig P (2002) Artificial intelligence: a modern approach. Pearson, London
3. McCulloch WS, Pitts W (1943) A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 5(4):115–133
4. Wiener N (1948) Cybernetics or control and communication in the animal and the machine. MIT Press, Cambridge
5. Hebb DO (1949) The organization of behavior. Wiley, New York
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献