Supervised Learning – alle Bücher

Stefan Selle
Data Science Training - Supervised Learning

Dieses Lehrbuch erklärt auf narrative und direkte Weise die wichtigen Zusammenhänge zwischen Data Science, Künstlicher Intelligenz und anderen Disziplinen und Domänen wie Datenschutz und Ethik, mit Fokus …

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Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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Christoph Molnar, Timo Freiesleben
Supervised Machine Learning for Science

Machine learning has revolutionized science, from folding proteins and predicting tornadoes to studying human nature. While science has always had an intimate relationship with prediction, machine learnin…

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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…

lieferbar innerhalb 1-2 Wochen

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

This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provi…

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Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

SpringerBriefs in Bioengineering

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

lieferbar ab 15.10.2025.

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Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AI Machine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfo…

lieferbar ab 23.10.2025.

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Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg
Deep Learning Crash Course

A complete guide to deep neural networks -- the technology behind AI -- covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyon…

lieferbar ab 6.1.2026.

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Diabetic Foot Ulcers Grand Challenge

This book constitutes the 4th Challenge on Diabetic Foot Ulcers, DFUC2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI …

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

lieferbar ab 31.10.2025.

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

lieferbar ab 31.10.2025.

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Theodoros Karakasidis, Avraam Charakopoulos
Time Series and Networks Analysis

Introduction.- Time series statistics.- Time domain analysis.- Correlation and causality.- Clustering time series.- Nonlinear analysis.- Complex network time series.- Topological properties of networks.- …

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Supervised and Unsupervised Statistical Data Analysis

Studies in Classification, Data Analysis, and Knowledge Organization

The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical res…

lieferbar ab 15.10.2025.

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