Learning Algorithms – alle Bücher, Seite 3

Machine Learning Technologies on Energy Economics and Finance

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector. It examines key factors shapin…

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Ruye Wang
Introduction to Machine Learning

Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level im…

lieferbar ab 30.11.2025.

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Jeff Edmonds
How to Think about Algorithms

Understand algorithms and their design with this revised student-friendly textbook. Unlike other algorithms books, this one is approachable, the methods it explains are straightforward, and the insights i…

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Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance

This open access LNCS volume 15515 constitutes the refereed proceedings of the First MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, H…

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Machine Learning for Drone-Enabled IoT Networks

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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Artificial Intelligence and Machine Learning in Sports Science

This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science rese…

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Quantum Robustness in Artificial Intelligence

Quantum Science and Technology

This book surveys state-of-the-art research on adversarial robustness of quantum machine learning algorithms. Despite their high efficiency and accuracy, classical ML and AI algorithms can be easily foole…

lieferbar ab 3.2.2026.

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Joachim Steinwendner, Roland Schwaiger
Programming Neural Networks with Python

Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and cr…

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David Kopec
Computer Science From Scratch

You know how to write Python. Now master the computer science that makes it work.If you've been programming for a while, you may have found yourself wondering about the deeper principles behind the code. …

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Machine Learning for Cyber Physical System: Advances and Challenges

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart…

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Nevena Rankovic, Ljubomir Lazi¿, Mirjana Ivanovic, Dragica Rankovi¿
Recent Advances in Artificial Intelligence in Cost Estimation in Project Management

This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art mach…

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Connected Objects, Artificial Intelligence, Telecommunicatio

Modeling Indoor Temperature Changes in Low Energy Buildings Based on Outdoor Temperature and Electric Heater Consumption.- An Investigative Comparison of an Ensemble Model and Selected Machine Learning Al…

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Advanced Computing Techniques in Engineering and Technology

This volume constitutes the proceedings of 2nd International Conference on Advanced Computing Techniques in Engineering & Technology, ACTET 2025, in Jaipur, India, during February 12--13, 2025.The 30 …

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Artificial Intelligence in Ophthalmology

This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related ma…

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Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce
Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

lieferbar in mind. 4 Wochen

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Yves Hilpisch
Reinforcement Learning for Finance

Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman …

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Innovations in Computational Logistics and Supply Chain Analytics

Unsupervised and Semi-Supervised Learning

This book discusses advances in computational logistics and supply chain analytics. The book includes innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that …

lieferbar ab 13.4.2026.

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Advances in Computational Logistics and Supply Chain Analytics

This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that…

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Data Information in Online Environments

This book constitutes the refereed proceedings of the 4th EAI International Conference on Data Information in Online Environments, DIONE 2023, held in Nanchang, China, during November 25-27, 2023.The 21 f…

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