Machinelearning, – Bücher, LPs, CDs und mehr, Seite 4

Moritz Hardt
The Emerging Science of Machine Learning Benchmarks

The first comprehensive introduction to benchmarking, the engine behind progress in AIIn machine learning, researchers split their data into training and test sets, let model builders compete on the test …

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Machine Learning in Water Treatment

Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cut…

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Benjamin Hao
Build a Machine Learning Platform (From Scratch)

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Deliveri…

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Steven W Knox
Machine Learning

New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-sideMachine Learning is a co…

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Steven F. Barrett
Arduino V: Machine Learning, 2ed

Synthesis Lectures on Digital Circuits & Systems

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making …

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Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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Foundations and Advances of Machine Learning in Official Statistics

Society, Environment and Statistics

This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cros…

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Wenmin Wang
Principles of Machine Learning

Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, learning paradigms, and learning tasks. With this categor…

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Du¿an Stipanovi¿
Difference Equations and Machine Learning

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

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Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track

This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Po…

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Jen-Tsung Chen
Machine Learning for Plant Biology

A comprehensive and current summary of machine learning-based strategies for constructing digital plant biologyMachine Learning for Plant Biology provides a comprehensive summary of the latest development…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

AGU Advanced Textbooks

A textbook applying fundamental seismology theories to the latest computational toolsThe goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these …

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Clemens Apprich
Errant Intelligence

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…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

Springer Series in Reliability Engineering

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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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…

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John Paul Mueller, Luca Massaron
Machine Learning For Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

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Jim Scrivener
Macmillan Books for Teachers: Learning Teaching

Learning Teaching wurde in der dritten Ausgabe komplett überarbeitet und aktualisiert. Aktuelle methodisch-didaktische Entwicklungen und Trends im Bereich English as a Foreign Language wurden dabei berück…

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Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

Springer Theses

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

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Tongyi Zhang
An Introduction to Materials Informatics

This book introduces how the rapid advancement of artificial intelligenceAI is transforming the field of materials informatics, viz., AI+ materials. Around the world, self-driving materials laboratories a…

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Benedikt Sterr
Machine learning aided multiscale mechanics of fiber suspensions

We present a Fast-Fourier-Transform (FFT) based computational approach to computing the viscous stress response of rigid fibers suspended in a non-Newtonian medium. We identify closed-form models for the …

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