Machine Learning For Optical Techniques – alle Bücher und CDs, Seite 4 online kaufen

Lei Cheng: Bayesian Tensor Decomposition for Signal Processing and Machine Learning, Buch

Lei Cheng, Yik-Chung Wu, Zhongtao Chen
Bayesian Tensor Decomposition for Signal Processing and Machine Learning

This book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian modeling and inference lead to tuning-free tensor decomposition algorithms, which ach…

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EUR 142,37*

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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EUR 53,32*

Learning Techniques for the Internet of Things

The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud co…

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EUR 175,23*

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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EUR 53,32*

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Lecture Notes in Computer Science -Band 15167

This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh,…

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EUR 63,51*

Maurizio Perticarini
Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage

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EUR 142,37*

Vitor Joao Pereira Domingues Martinho
Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

SpringerBriefs in Applied Sciences and Technology

This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policie…

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EUR 47,99*

Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

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EUR 197,13*

Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Signals and Communication Technology

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EUR 306,65*

Machine Learning Support for Fault Diagnosis of System-on-Chip

This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods …

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EUR 63,99*

Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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EUR 153,32*

Marian Verhelst, Vikram Jain
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect o…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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EUR 45,00*

Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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EUR 153,32*

Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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EUR 53,32*

Mark Ryan, Luca Massaron
Advanced Analytics for Business

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Every organization in the world stores …

lieferbar ab 25.3.2025.

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EUR 78,94*

Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

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Math Optimization for Artificial Intelligence

Mathematical Methods in the Digital Age -Band 2

The book presents powerful optimization approaches for integrating AI into daily life. This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machi…

lieferbar ab 15.3.2025.

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EUR 159,47*

Sofien Kaabar
Deep Learning for Finance

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on g…

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EUR 65,54*

David Mackay
Mathematical Foundations Of Machine Learning

"Mathematical Foundations of Machine Learning" delves into the fundamental mathematical concepts that underpin the field of machine learning, providing a comprehensive exploration of the mathematical prin…

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EUR 26,05*

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