Model Learning – alle Bücher, CDs und LPs, Seite 4 online kaufen

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…

lieferbar innerhalb 2-3 Wochen

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Artyom M Grigoryan, Sos S Agaian
Quantum Image Processing in Practice

Comprehensive resource addressing the need for a quantum image processing machine learning model that can outperform classical neural networks Quantum Image Processing in Practice explores the transformat…

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N. Sukumar
Navigating Molecular Networks

This book delves into the foundational principles governing the treatment of molecular networks and "chemical space"-the comprehensive domain encompassing all physically achievable molecules-from the pers…

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Maya
Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More

Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More explores groundbreaking advancements in identifying nuanced speaker states beyond traditional emotions. This resear…

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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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Advances in Artificial Intelligence in Manufacturing

This book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the first European Symposium on Artificial Intelligence in Manufa…

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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 ab 1.6.2025.

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Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the book In Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's …

lieferbar ab 2.7.2025.

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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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Water Resources Monitoring, Management, and Sustainability

Water Resources Monitoring, Management, and Sustainability: Application of Geostatistics and Geospatial Modeling, Volume 16, a new volume in the Developments in Environmental Science series, introduces a …

lieferbar in mind. 4 Wochen

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Charles Ravarani, Natasha Latysheva
Deep Learning for Biology

Bridge the gap between biology and cutting-edge machine learning techniques with this essential guide. Train and interpret deep learning models and answer fundamental biological questions. Whether your ba…

lieferbar ab 30.6.2025.

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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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Ayush Somani, Dilip K. Prasad, Alexander Horsch
Interpretability in Deep Learning

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In additi…

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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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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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Juan Fumero, Christos Kotselidis, Athanasios Stratikopoulos
Programming Heterogeneous Hardware via Managed Runtime Systems

This book provides an introduction to both heterogeneous execution and managed runtime environments (MREs) by discussing the current trends in computing and the evolution of both hardware and software. To…

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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…

lieferbar in mind. 4 Wochen

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Rui Neves, Manuel Moura
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models is m…

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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,…

lieferbar ab 5.6.2025.

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