Thema Maschinelles Lernen – alle Bücher, Seite 8

Roshan Srivastav, Purna C. Nayak
Applications of Machine Learning in Hydroclimatology

The Springer Series in Applied Machine Learning

Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. Th…

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Predrag S. Stanimirovi¿, Yimin Wei, Shuai Li, Dimitrios Gerontitis
Generalized Matrix Inversion: A Machine Learning Approach

Background Information.- 2 Gradient Neural Network (GNN) and their Modifications.- 3 Zeroing Neural Network (ZNN).- 4 From iterations to ZNNs and vice versa, 5 Modified ZNN dynamical systems.

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Du¿an Stipanovi¿
Difference Equations and Machine Learning

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

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David Stroud
Advanced Large Language Model Operations

The Springer Series in Applied Machine Learning

This book presents a practitioner-oriented treatment of LLMOps: the engineering discipline required to deploy, scale, and govern large language model systems in production. Advanced Large Language Model O…

lieferbar ab 12.11.2026.

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Changho Suh
Probability for Information Technology

This book introduces probabilistic modelling and explores its role in solving a broad spectrum of engineering problems that arise in Information Technology (IT). Divided into three parts, it begins by lay…

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Yi Sun, Rod Adams
A Mathematical Introduction to Data Science with Python

This textbook serves as a companion to "A Mathematical Introduction to Data Science". It uses Python programming to provide a comprehensive foundation in the mathematics needed for data science.…

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Jian-Qiao Sun
Random Vibration with Machine Learning Method

Nonlinear Physical Science

The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first b…

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Gaurav Suri, Jay McClelland
The Emergent Mind

As heard on BBC Radio 4 Start the Week A New Scientist Best Book of the Year A Next Big Ideas ClubBook of the Year'Excellent' - Geoffrey Hinton, the 'godfather of AI' and Nobel laureate in Physics 'An ind…

lieferbar in mind. 4 Wochen

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Gaurav Suri, Jay McClelland
The Emergent Mind

'Excellent' - Geoffrey Hinton, the 'godfather of AI' and Nobel laureate in Physics 'An indispensable guide to both ourselves and the coming age of AI' - Mustafa Suleyman, bestselling co-author of The Comi…

lieferbar ab 22.10.2026.

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Joe Suzuki
Graphical Models and Causal Discovery with Python

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical…

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Joe Suzuki
Graphical Models and Causal Discovery with R

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical…

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Gero Szepannek
Grundprinzipien des maschinellen Lernens

Was steckt hinter den Algorithmen der künstlichen Intelligenz?Künstliche Intelligenz und maschinelles Lernen halten zunehmend Einzug, in betrieblichen Anwendungen wie in der Forschung. Nicht alle Anwender…

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Dennis Tay
Machine Learning Meets Discourse

Routledge Studies in Linguistics

Tay explores the performance-interpretability trade-off (PIT) as a critical tension in artificial intelligence (AI) and machine learning (ML), and shows its distinctive form in discourse analysis where pr…

lieferbar in mind. 4 Wochen

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Matus Telgarsky, Miroslav Dudik, Robert E. Schapire
Astral Space

From three of today's top researchers in machine learning, a groundbreaking new theory for understanding convex minimization at infinityNumerous fields of study rely on methods for minimizing convex funct…

lieferbar ab 26.1.2027.

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Sven Truderung
Das Turing-Paradoxon

In einer nahen Zukunft scheint der Menschheit endlich das Unmögliche gelungen zu sein: Weltweiter Frieden. Es gibt keine Kriege mehr, keine diplomatischen Eklats, keine Hassrede in den sozialen Medien. Do…

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Chen-Tse Tsai, Shyam Upadhyay, Dan Roth
Multilingual Entity Linking

Synthesis Lectures on Human Language Technologies

This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs). The author…

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Anwaar Ulhaq
The Neural Evolution of AI

SpringerBriefs in Computer Science

The author tells the untold story behind artificial intelligence. From early discoveries about how neurons communicate to today's powerful neural networks, deep learning and generative AI systems, this bo…

lieferbar ab 28.10.2026.

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Cem Unsalan, Ozan Durgut
Embedded Digital Image Processing with Microcontrollers

This textbook introduces basic and advanced embedded digital image processing methods through practical applications on STMicroelectronics STM32 development boards. This hands-on text covers traditional a…

lieferbar ab 1.11.2026.

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Cem Ünsalan, Berkan Höke, Eren Atmaca
Embedded Machine Learning with Microcontrollers

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning metho…

lieferbar innerhalb 2-3 Wochen

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Leslie Valiant
The Importance of Being Educable

Why you should worry less about AI and more about what makes us humanWe are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we are creating, we …

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