Machine Learning, – Bücher, CDs, LPs und mehr, Seite 9

Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems.In Data Without L…

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Rainer Hattenhauer
Programmieren lernen mit KI

Einfach Programmieren lernen - mit Unterstützung von ChatGPT & Co.Möchtest du Programmieren lernen , scheust aber davor zurück, komplizierte Programmiersprachen zu erlernen? Dann ist dieses Buch genau…

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

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Clemens Apprich
Errant Intelligence

Recursions

Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deepe…

lieferbar ab 5.6.2026.

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Christian Borch
Trading Beyond Understanding

Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts---executed manually or through pre-coded rules---firms now build models that g…

lieferbar ab 10.3.2026.

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Christian Borch
Trading Beyond Understanding

Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts---executed manually or through pre-coded rules---firms now build models that g…

lieferbar ab 10.3.2026.

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Computational Optimization

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, inc…

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Yuning Zhang, Chenxin Yang, Peng Luo, Heng Zhang
Advanced Signal Processing

This brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind …

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Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

"Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1".- " Introduction to Intelligent Systems".- "2. The Evolution of Artificial Intelligence".…

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Crowd Dynamics, Volume 5

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineeri…

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Yuqi Zhao
Harmonic Estimation and Forecasting in Sparsely Monitored Uncertain Power Systems

Introduction.- Power System Harmonic Modelling.- Harmonic Simulation Studies.- Probabilistic Harmonic Estimation in Non-Radial Distribution Networks.- Application of Machine Learning for Harmonic Estimati…

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Milind Sharma
The Quantamental Revolution

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniquesIn The Quantamental Revolution: Factor Investing in th…

lieferbar ab 17.3.2026.

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In Silico Clinical Trials for Cardiovascular Disease

This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field…

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Joseph Awange, Lajos Völgyesi, Béla Paláncz
Hybrid Imaging and Visualization

This second edition of the book that targets those in computer algebra and artificial intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in ma…

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Maria Vechtomova
MLOps with Databricks

MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provi…

lieferbar ab 30.6.2026.

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Agricultural Insights from Space

Agricultural Insights from Space offers a comprehensive exploration of how geospatial technology and machine learning are transforming modern agriculture. From satellite data acquisition and soil mapping …

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Bernard Twum Agyeman, Jinfeng Liu
Precision Irrigation for Agriculture

Advanced methodologies in machine learning, optimal control, and agricultural water management to address irrigation scheduling in large-scale agricultureThrough a multidisciplinary approach, Precision Ir…

lieferbar ab 11.5.2026.

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Gordana Jovanovic Dolecek
MATLAB Random Signals and Processes Primer

This book offers a clear and intuitive approach to the world of random signals and processes, relating them with fundamental statistics and machine learning techniques---all through the lens of MATLAB. It…

lieferbar ab 20.8.2026.

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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

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Anindita Nath, Bappaditya Koley, Tanupriya Choudhury
Shoreline Modification Over the Indian Sundarban

This SpringerBrief uses geospatial techniques to assess shoreline change dynamics in the Indian Sundarban, a unique region located in the delta of three major rivers - the Ganges, Brahmaputra and Meghna -…

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