Learningmachines – Bücher, LPs, CDs und mehr, Seite 7

Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, …

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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya
Build a Machine Learning Platform (from Scratch)

Get your machine learning models out of the lab and into production!Delivering a successful machine learning project is hard. Build a Machine Learning Platform (From Scratch) makes it easier. In it, you'l…

lieferbar ab 31.3.2026.

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Machine Learning Technologies on Energy Economics and Finance

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector. It examines key factors shapin…

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Artificial Intelligence and Machine Learning in Neurology, 2 Volume Set

Unlock the future of brain health with this indispensable guide, which offers a comprehensive exploration of how artificial intelligence and machine learning are revolutionizing the diagnosis, treatment, …

lieferbar ab 6.4.2026.

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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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Matthew Guzdial, Sam Snodgrass, Adam Summerville
Procedural Content Generation via Machine Learning

This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content …

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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 11.6.2026.

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Machine Learning Technologies on Energy Economics and Finance

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector.It examines key factors shaping…

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Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

From the back cover:In Machine Learning System Design: With end-to-end examples you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of th…

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Juan Pablo Pardo-Guerra,
The Oxford Handbook of the Sociology of Machine Learning

This volume is the first comprehensive collection of essays exploring machine learning from a sociological perspective. It offers a thorough introduction to various forms of machine learning and features …

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Andreas Tilevik
Multivariate Statistics and Machine Learning in R For Beginners

This book is more than just a book -- it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers read…

lieferbar ab 10.1.2026.

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NanoMind: Exploring Synergies in Nanotechnology and Machine Learning

NanoMind" serves as a captivating exploration at the crossroads of nanotechnology and machine learning, revealing the profound synergies between these two groundbreaking fields. At its core, the book…

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Eric W. Bridgeford, Alexander R. Loftus, Joshua T. Vogelstein
Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

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Haipeng Gao, Ari Joury, Weining Shen, Guanyu Hu
Soccer Analytics with Machine Learning

Struggling to grasp machine learning concepts or unsure how to apply them in the real world? This book aims to change that by using the world's most popular game--soccer--to illuminate key concepts in pre…

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Machine Learning for Drone-Enabled IoT Networks

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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Blockchain and Machine Learning Innovations

Introduction.- Building Intelligent Systems - Blockchain and Machine Learning Integration.- AI Powered Predictive Analytics in Decision Making.- Smart contracts and Predictive analytics.- Blockchain, Mach…

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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…

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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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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products.- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educati…

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