Learning Models – alle Bücher, CDs und LPs, Seite 4

Bachman
Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities

Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities explores cutting-edge methods for identifying speaker states using diverse data inputs. Beyond traditional e…

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on…

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Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AI Machine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfo…

lieferbar ab 23.10.2025.

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Shixia Liu, Jun Yuan, Junpeng Wang, Weikai Yang
Visualization for Artificial Intelligence

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization ca…

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Proceedings of the 2nd Cognitive Mobility Conference

This book features selected papers presented at the 2nd International Conference on Cognitive Mobility which took place on October 19-20, 2023, in Budapest, Bosch Innovation Campus. This conference brough…

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Elissaios Sarmas, Haris Doukas, Vangelis Marinakis
Artificial Intelligence for Energy Systems

This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to en…

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Matthew Wicker, Francesco Leofante
Robust Explainable AI

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

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1st IFMBE Latin American Conference on Digital Health

This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Latin America. It covers applications of artific…

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Deep Reinforcement Learning and Its Industrial Use Cases

This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable…

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Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Advanced Machine Learning for Cyber-Attack Detection in Iot Networks

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their ap…

lieferbar in mind. 4 Wochen

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Winkel Tobias
Pedestrian Safety Analysis And Countermeasures

This book is about investigating pedestrian safety by analyzing crash risks in specific, less-studied locations: non-intersection areas, high-speed roadways, and interstate highways. It addresses the sign…

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Robert Osazuwa Ness
Causal AI

From the back cover:Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and …

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Robin Sharma
The Wealth Money Can't Buy

*NEW YORK TIMES BESTSELLER*A REVOLUTIONARY METHOD TO BECOME TRULY WEALTHYThe Wealth Money Can't Buy offers you a completely life-changing new philosophy and methodology for enjoying an honestly rich life,…

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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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Peter Hense, Tea Mustac
AI Act compact

The EU AI Act is here, and contrary to popular opinion, it is not just Europe's problem. As the first comprehensive law to regulate AI systems, the AI Act attempts to establish a global framework, setting…

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Proceedings of ELM 2022

This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learni…

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Intelligent Robots and Drones for Precision Agriculture

This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and …

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Sen Lin, Zhi Zhou, Junshan Zhang, Xu Chen
Edge Intelligence in the Making

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edg…

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