Alexander Jung – författare
Visar alla böcker från författaren Alexander Jung. Handla med fri frakt och snabb leverans.
34 produkter
Panacee und Theodicee. Illustrationen, Caricaturen der Gegenwart und Grundlinien einer neuen Weltanschauung
Inbunden, 2025
1420 kr
Lägg i varukorg
Eine Annäherung an Familienunternehmen aus systemtheoretischer Perspektive
Häftad, 2007
389 kr
Lägg i varukorg
Eine Annäherung an Familienunternehmen aus systemtheoretischer Perspektive
Häftad, 2012
330 kr
Lägg i varukorg
Machine Learning
The Basics
Inbunden, 2022
680 kr
Lägg i varukorg
Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the …
Machine Learning
The Basics
E-bok, 2022
923 kr
Lägg i varukorg
Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the …
Machine Learning
The Basics
Häftad, 2023
680 kr
Lägg i varukorg
Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the …
Federated Learning
From Theory to Practice
Inbunden, 2026
736 kr
Lägg i varukorg
How can we train powerful machine learning models together—across smartphones, hospitals, or financial institutions—without ever sharing raw data? This book delivers a compelling answer through the lens of federated learning (FL), a cutting-edge paradigm for decentralized, privacy-preserving …
Federated Learning
From Theory to Practice
E-bok, 2026
897 kr
Lägg i varukorg
How can we train powerful machine learning models together—across smartphones, hospitals, or financial institutions—without ever sharing raw data? This book delivers a compelling answer through the lens of federated learning (FL), a cutting-edge paradigm for decentralized, privacy-preserving …
