Machine Learning And Neural Networks – alle Bücher und CDs, Seite 6 online kaufen

Sustainable Development through Machine Learning, AI and IoT

Communications in Computer and Information Science -Band 2196

This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27 28,…

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EUR 93,08*

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Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Mayer Alvo
Statistical Inference and Machine Learning for Big Data

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This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these im…

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Practical Machine Learning Tools and Techniques for Industrial Applications

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Machine Learning in Geohazard Risk Prediction and Assessment

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Artificial Intelligence and Machine Learning in Drug Design and Development

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Machine Learning Models and Architectures for Biomedical Signal Processing

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates …

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Machine Learning for Cyber Physical System: Advances and Challenges

Intelligent Systems Reference Library -Band 60

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Michael Lutter
Inductive Biases in Machine Learning for Robotics and Control

Springer Tracts in Advanced Robotics -Band 156

One important robotics problem is How can one program a robot to perform a task ? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In co…

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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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Artificial Intelligence and Machine Learning in the Travel Industry

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Modeling and Optimization of Signals Using Machine Learning Techniques

Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing. Mode…

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Anupam Bagchi, Pramod Gupta
Essentials of Python for Artificial Intelligence and Machine Learning

Synthesis Lectures on Engineering, Science, and Technology

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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Elliptically Symmetric Distributions in Signal Processing and Machine Learning

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

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Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Studies in Computational Intelligence -Band 1096

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

Contributions to Statistics

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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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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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Machine Learning And Neural Networks – alle Bücher und CDs, Seite 6

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