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

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…

lieferbar innerhalb 2-3 Wochen

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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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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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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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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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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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Robin Sharma
The Wealth Money Can't Buy

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

sofort lieferbar

Buch

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…

lieferbar innerhalb 1-2 Wochen

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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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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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Richard A Delorenzo, Roxanne L Mourant
Competency-Based Education Ignited

"The traditional system of education is failing our students. Richard A. DeLorenzo and Roxanne L. Mourant, in Competency-Based Education Ignited: A Transformational Systemwide Approach for Leaders, lay ou…

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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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Prabhat Mishra, Zhixin Pan
Explainable AI for Cybersecurity

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI c…

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Alp Akpinar
Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data

This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on…

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Sandhya Vinayakam, A. Lakshmi Muddana
Python for Data Science

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concep…

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Charles Givre
Applied Data Science for Cybersecurity

Discover how to apply contemporary data science and machine learning to cybersecurity In Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre deliv…

Erscheint bald

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Friedrich von Bülow
A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries

AutoUni ¿ Schriftenreihe - Band 170

Given the limitations of state-of-the-art methods, this book presents a state of health (SOH) forecasting method that is suitable for lithium-ion battery (LIB) systems in real-world battery electric vehic…

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Charu C. Aggarwal
Neural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly import…

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