Mastering Machine Learning: From Basics to Advanced



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Éditeur :

Springer


Collection :

Transactions on Computer Systems and Networks

Paru le : 2025-04-18



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Description

This book covers all aspects of machine learning (ML) from concepts and math to ML programming. ML concepts and the math associated with ML are written from an application perspective, rather than from a theoretical perspective. The book presents concepts and algorithms precisely as they are used in real-world applications, ensuring a seamless and practical understanding with no gap between theory and practice.
In a distinctive approach, the book's content is complemented by video lectures whose details can be found inside the book. This innovative approach offers readers a multimedia learning experience, accommodating different learning preferences, and reinforcing the material through visual and auditory means. If you are new to Artificial Intelligence and Machine Learning, this could be the first book you read and the first video course you take.
Pages
257 pages
Collection
Transactions on Computer Systems and Networks
Parution
2025-04-18
Marque
Springer
EAN papier
9789819799138
EAN PDF
9789819799145

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
11438 Ko
Prix
220,49 €
EAN EPUB
9789819799145

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
43807 Ko
Prix
220,49 €