Learningmachines – Bücher, CDs, LPs und mehr, Seite 3

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Beyond the Visible: Predicting Metal Breakdown with Machine Learning

Our eyes can't see the enemy within, but machine learning (ML) can! Metal looks strong, but tiny processes lead to its breakdown ¿ rust. ML goes beyond the visible, analyzing vast amounts of data to predi…

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Buch

Mariya
Folding the Future: Machine Learning Revolutionizes Protein Structure Prediction

Folding the Future" unfolds the exciting revolution in protein structure prediction powered by machine learning. For decades, scientists struggled to understand the complex 3D shapes proteins fold in…

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Jimi Tenor

Multiversum

Jimi Tenor war schon immer so etwas wie ein Renaissance man. Bereits als er seine Heimat Finnland zu Beginn der 1990er Jahre verließ, um zunächst nach New York zu gehen und später quer durch Europa zu zi…

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LP

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.

Buch

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.

Buch

Parteek Bhatia
Machine Learning with Python

"Machine learning (ML) has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intellig…

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Buch

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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Buch

Jian-Qiao Sun
Random Vibration with Machine Learning Method

The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first b…

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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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Vijayakumar P
Data Mining & Warehousing Tech Machine Learning Concepts

This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data w…

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Quantum Computing and Machine Learning for 6g

Secure your expertise in the next frontier of wireless technology with this essential book, which provides a deep dive into the integration of machine learning and quantum computing to build the necessary…

lieferbar ab 1.7.2026.

Buch

Artificial Intelligence and Machine Learning in Sports Science

This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science rese…

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Buch

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 Models and Al…

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Agbotiname Lucky Imoize
Tiny Machine Learning

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and developmentIn Tiny Machine Learning: Design Principles and Applications, a te…

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Yuhan Kang, Hao Gao, Zhu Han
Mean Field Guided Machine Learning

Preface.- Chapter 1 Overview of Mean Field Theory and Machine Learning.- Chapter 2 Mean Field Game and Machine Learning Basis.- Chapter 3 Opinion Evolution in Social Networks: Use Generative Adversarial N…

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Buch

Le Liang, Shi Jin, Hao Ye
Wireless Communications and Machine Learning

This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 2…

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Durai Rajamanickam
Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

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Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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Anna Dawid, Alexandre Dauphin, Julian Arnold
Machine Learning in Quantum Sciences

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging liter…

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Qiang Huang
Domain-informed Machine Learning for Smart Manufacturing

This book introduces the state-of-the-art understanding on domain-informed machine learning (DIML) for advanced manufacturing. Methods and case studies presented in this volume show how complicated engine…

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