This item is printed on demand - Print on Demand Titel. Neuware -Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to 'learn' with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning 'signal' or 'feedback' available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement LearningVDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 56 pp. Englisch.

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Bibliographic Details

Title: Lab manual of Machine Learning
Publisher: LAP LAMBERT Academic Publishing Aug 2021
Publication Date: 2021
Language: English
ISBN 10: 6203863491
ISBN 13: 9786203863499
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 102 grams

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Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to "learn" with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning "signal" or "feedback" available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement Learning

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