Математика в машинном обучении

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... science, as well as professionals in ML, to structure their knowledge into a coherent concept.

This book is self-sufficient: the reader is introduced to basic mathematical concepts and then moves on to four main methods of ML: linear regression, principal component analysis, Gaussian modeling, and support vector methods.

For those who are just beginning to study mathematics, this approach will help develop intuition and gain practical experience in applying mathematical knowledge,
and for readers with a basic mathematical education, the book will serve as a starting point for a more advanced acquaintance with machine learning.

Skaityti daugiau

Autorius: Mark Piter Dajzenrot, A. Aldo Fejzal, Čen Sun On

Publisher: piter

Serija: Profesionalams

Amžiaus ribos: 16+

Išleidimo metai: 2025

ISBN: 9785446117888

Puslapių skaičius: 512

Dydis: 233x165x26 mm

Viršelio tipas: Soft

Svoris: 780 g

ID: 1677062

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 science, as well as professionals in ML, to structure their knowledge into a coherent concept.

This book is self-sufficient: the reader is introduced to basic mathematical concepts and then moves on to four main methods of ML: linear regression, principal component analysis, Gaussian modeling, and support vector methods.

For those who are just beginning to study mathematics, this approach will help develop intuition and gain practical experience in applying mathematical knowledge,
and for readers with a basic mathematical education, the book will serve as a starting point for a more advanced acquaintance with machine learning.

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Yra sandėlyje

€ 36.19