Machine Learning Models – alle Bücher, LPs und CDs, Seite 2 online kaufen

Yob

Clearing The Path To Ascend

Zwei Jahre, nachdem die Erwartungen von Kritikern und Fans mit »Atma« - im positivem Sinne - dem Erdboden gleichgemacht wurden, lässt das Doom Trio YOB »Clearing The Path To Ascend« von der Leine. Der Tit…

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Prafful Mishra
A Guide to Implementing MLOps

Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data. However, despite the promise of machine learning…

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Pedro H. M. Eid, Ricardo M. F. Martins, Nuno C. C. Lourenço, Filipe P. Azevedo
Efficient Analog Integrated Circuit Sizing with GenAI

This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically d…

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Advanced Manufacturing Processes VI

This book offers a timely snapshot of innovative research and developments at the interface between design, manufacturing, materials, mechanical and process engineering, and quality assurance. It covers v…

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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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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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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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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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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…

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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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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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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Aimed at researchers in the molecular life sciences, this unique reference summarizes current approaches for harnessing the power of machine learning for more efficient full quantum mechanical (FQM) calcu…

Erscheint bald

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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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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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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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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teach…

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Eklas Hossain
Machine Learning Crash Course for Engineers

Machine Learning Crash Course for Engineers is 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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Frederik Rehbach
Enhancing Surrogate-Based Optimization Through Parallelization

This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-…

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