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Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures

Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures is een boek van Strobl, Carolin;

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Introduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Statistical Machine Learning for Human Behaviour Analysis

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Statistical and Machine Learning Approaches for Network Analysis

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches;

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Training Systems Using Python Statistical Modeling

, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive;

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Algorithms in Machine Learning Paradigms

applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning;

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Algorithms in Machine Learning Paradigms

applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning;

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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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Introduction to Statistical and Machine Learning Methods for Data Science

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Introduction to Statistical and Machine Learning Methods for Data Science

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Building Machine Learning Systems With Python

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on;

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Statistics and Machine Learning Methods for EHR Data

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning;

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Statistical Reinforcement Learning

field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms;

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Statistical Reinforcement Learning

field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms;

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Machine Learning Research Progress

automatically, by computational and statistical methods. Hence, machine learning is closely related not only to data mining and statistics, but also;

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniq

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas;

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Deep Learning and Physics

structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics;

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Deep Learning and Physics

structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics;

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Phase Transitions In Machine Learning

spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin;

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An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint;

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Machine Learning: A Practical Approach on the Statistical Learning Theory

This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and;

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Machine Learning for Speaker Recognition

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;

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Principles Of Quantum Artificial Intelligence

This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods;

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Understanding Machine Learning

Machine learning is a branch of computer science concerned with the application of statistical techniques to improve performance;

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Machine Learning

, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical;

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Machine Learning

This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and;

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