Thema Maschinelles Lernen – alle Bücher

Marat Akhmet, Zakhira Nugayeva, Akylbek Zhamanshin, Madina Tleubergenova
Artificial Neural Networks

Mathematical chaos in neural networks is a powerful tool that reflects the world¿s complexity and has the potential to uncover the mysteries of the brain¿s intellectual activity. Through this monograph, t…

lieferbar innerhalb 2-3 Wochen

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Jay Alammar, Maarten Grootendorst,
Praxisbuch Large Language Models

Animals

Alle Werkzeuge und Techniken für die praktische Arbeit mit LLMsDas Handbuch für das intuitive Verständnis von LLMs: Mit zahlreichen Visualisierungen, die Konzepte schnell zugänglich machenThemen sind die …

lieferbar ab 30.9.2025.

Buch

Alberta Albertella, Fernando Sansò
The Probabilistic Vision of the Physical World

This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact. It explores the connec…

lieferbar innerhalb 2-3 Wochen

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Pietro Auconi, Antonella Polimeni, Guido Caldarelli
Systems Orthodontics

This book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, often in adolescence, grapple with the decision of whether …

lieferbar innerhalb 2-3 Wochen

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Cristian Axenie, Meisam Akbarzadeh, Alexandru Stancu, Matteo Saveriano
Applied Antifragility in Technical Systems

The book purpose is to build a foundational knowledge base by applying antifragile system design, analysis, and development in technical systems, with a focus on traffic engineering, robotics, and control…

lieferbar innerhalb 2-3 Wochen

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Anupam Bagchi, Pramod Gupta
Essentials of Python for Artificial Intelligence and Machine Learning

This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply …

lieferbar innerhalb 2-3 Wochen

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Ying Bai
AI Foundations and Applications with MATLAB

This textbook provides fundamentals and practical skills on AI foundations and applications with two MATLAB programming modes. It includes twelve chapters with detailed introductions for the foundation kn…

lieferbar ab 7.9.2025.

Buch

Grey Ballard, Tamara G Kolda
Tensor Decompositions for Data Science

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiq…

lieferbar ab 21.8.2025.

Buch

Max Bennett
A Brief History of Intelligence

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be.'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of T…

lieferbar innerhalb 1-2 Wochen

Buch

Peter Boettke, Rosolino A. Candela, Tegan Lindstrom Truitt
The Socialist Calculation Debate

The collapse of communism in the Soviet Union and Eastern Europe delegitimized private property and central planning for socialism. However, the aspiration of achieving socialism's ends remains. This Elem…

lieferbar innerhalb 2-3 Wochen

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Peter Boettke, Rosolino A. Candela, Tegan Lindstrom Truitt
The Socialist Calculation Debate

The collapse of communism in the Soviet Union and Eastern Europe delegitimized private property and central planning for socialism. However, the aspiration of achieving socialism's ends remains. This Elem…

lieferbar innerhalb 2-3 Wochen

Buch

Eric W Bridgeford, Alexander R Loftus, Joshua T Vogelstein
Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

lieferbar ab 30.11.2025.

Buch

Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 30.11.2025.

Buch

Andriy Burkov,
Language Models kompakt

Der schnellste Weg, um die Mechanismen von LLMs zu verstehenDieses Buch ist eine sehr komprimierte und gleichzeitig gut verständliche Einführung in die Entwicklung von Large Language ModelsIdeal für alle,…

lieferbar ab 28.8.2025.

Buch

Olivier Caelen, Marie-Alice Blete
Developing Apps with GPT-4 and ChatGPT

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and ben…

lieferbar innerhalb 1-2 Wochen

Buch

Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

lieferbar innerhalb 2-3 Wochen

Buch

Lihong Cao, Sancheng Peng
Textual Emotion Classification Using Deep Broad Learning

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network s…

lieferbar innerhalb 2-3 Wochen

Buch

Ismaël Castillo
Bayesian Nonparametric Statistics

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and…

lieferbar innerhalb 2-3 Wochen

Buch

Federica Cavicchio
Emotion Detection in Natural Language Processing

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (N…

lieferbar innerhalb 2-3 Wochen

Buch

Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

lieferbar innerhalb 2-3 Wochen

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