Fundamentals of Machine Learning. Tutorial
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The tutorial covers the basics of machine learning, as well as the history of its emergence, provides definitions for key concepts: sample, sample objects, parameters, error functional, and more, describes the basics of gradient descent and its modifications, basic algorithms for supervised and unsupervised learning.
For students studying in the fields of 09.03.04 - Software Engineering, 09.03.03 - Applied Informatics, 02.04.02 - Fundamental Informatics and Information Technologies, 09.04.02 - Information Systems and Technologies.
3rd edition, stereotypical.
For students studying in the fields of 09.03.04 - Software Engineering, 09.03.03 - Applied Informatics, 02.04.02 - Fundamental Informatics and Information Technologies, 09.04.02 - Information Systems and Technologies.
3rd edition, stereotypical.
Author:
Author:Limanovskaya Oksana Viktorovna
Cover:
Cover:soft
Category:
- Category:Computer & Technology
- Category:Science & Math
Dimensions:
Dimensions:21x14.7x.5 cm
ISBN:
ISBN:978-5-9765-5006-3
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