Mathematics in Machine Learning
Mathematics in Machine Learning
Mathematics in Machine Learning
Mathematics in Machine Learning
Mathematics in Machine Learning
Mathematics in Machine Learning
Mathematics in Machine Learning

Mathematics in Machine Learning

The fundamental mathematical disciplines necessary for understanding machine learning are linear algebra, analytical geometry, vector analysis, optimization, probability theory, and statistics. Traditionally, all these topics are spread across various courses, making it difficult for students studying data science or computer...

Author: Марк Питер Дайзенрот, А. Альдо Фейзал, Чен Сунь Он

Printhouse: piter

Series: For Professionals

Age restrictions: 16+

Year of publication: 2025

ISBN: 9785446117888

Number of pages: 512

Size: 233x165x26 mm

Cover type: soft

Weight: 780 g

ID: 1677062

In stock
€ 36.19
Will be delivered to United States on 19 March (Th):
By courier

from € 38.94

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