Statistical Learning – alle Bücher

Matthias Schonlau
Applied Statistical Learning

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical lea…

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Daniel Sorensen
Statistical Learning in Genetics

This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, whe…

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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Gareth James, Daniela Witten, Jonathan Taylor, Robert Tibshirani
An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in f…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Anestis Antoniadis, Jairo Cugliari, Jean-Michel Poggi, Yannig Goude
Statistical Learning Tools for Electricity Load Forecasting

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting. Drawing on their substant…

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Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design o…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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Danielle Navarro, David Foxcroft
Learning Statistics with Jamovi

Based on Danielle Navarro's widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jam…

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Danielle Navarro, David Foxcroft
Learning Statistics with Jamovi

Based on Danielle Navarro's widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jam…

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Daniel Alpay
Exercises in Applied Mathematics

This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connecti…

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Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: 1. The basics of probability and statistics: These chapters focus …

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

PRAISE FOR FINANCIAL DATA ANALYTICS "Really interesting, and an impressive masterpiece! Financial Data Analytics contains a rich amount of material, with original research findings in almost every chapte…

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Fedor
Cleaning Up Your Act: Statistical Methods for Detecting Outliers in Regression

"Cleaning Up Your Act: Statistical Methods for Detecting Outliers in Regression" dives into the world of data analysis, specifically focusing on a crucial step: identifying outliers in regression models. …

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David Spiegelhalter
The Art of Statistics

A guide to the power and potential of statistical science in relation to the age of big data, determining for instance the luckiest passenger on the Titanic, and whether screening for ovarian cancer is be…

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Max A Little
Machine Learning for Signal Processing

Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern in…

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Yury Polyanskiy, Yihong Wu
Information Theory

"This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercises, …

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Maria Han Veiga, François Gaston Ged
The Mathematics of Machine Learning

De Gruyter Textbook

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate stude…

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Frank C. Park, Kyu Min Park
Collision Detection for Robot Manipulators: Methods and Algorithms

This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical…

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Belief Functions: Theory and Applications

This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024, held in Belfast, UK, in September 2 4, 2024. The 30 full papers presented in this book…

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