Thema Maschinelles Lernen – alle Bücher

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…

sofort lieferbar

Buch

Charu C. Aggarwal
Neural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly import…

lieferbar innerhalb 2-3 Wochen

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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…

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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…

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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 …

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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 …

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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 20.6.2025.

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Katharina Bata
Maschinelles Lernen lernen

Maschinelles Lernen prägt zunehmend unseren Alltag, doch fehlt bislang eine Fachdidaktik, die das Thema als Lerngegenstand für Schulen und Hochschulen systematisch untersucht. In der vorliegenden Arbeit w…

lieferbar ab 14.7.2025.

Buch

Calin Belta, Max Cohen
Adaptive and Learning-Based Control of Safety-Critical Systems

This book stems from the growing use of learning-based techniques, such as reinforcement learning and adaptive control, in the control of autonomous and safety-critical systems. Safety is critical to many…

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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…

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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

Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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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 31.10.2025.

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 a…

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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…

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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…

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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

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