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Introduction to Statistical Machine Learning

, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine;

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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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An Elementary Introduction to Statistical Learning Theory

endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory;

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A Brief Introduction to Machine Learning for Engineers

introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning;

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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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Statistical and Machine Learning Approaches for Network Analysis

partition biological networks * An introduction to complex networks measures, statistical properties, and models * Modeling for evolving biological;

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Statistical Reinforcement Learning

is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the;

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Statistical Reinforcement Learning

is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the;

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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

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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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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Machine Learning

introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with;

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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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Machine Learning

immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and;

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Introduction to Machine Learning with R

guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with;

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Machine Learning and Artificial Intelligence in Marketing and Sales

practitioner and the data scientist perspective. Rather than a context-free introduction to AI and machine learning, data scientists implementing these;

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Training Systems Using Python Statistical Modeling

statistician or a machine learning developer looking to train and deploy effective machine learning models using popular statistical techniques, then;

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An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for;

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An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for;

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Machine Learning: Introduction To Machine Learning

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Building Machine Learning Systems With Python

-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into;

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An Introduction to Machine Learning

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches;

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Statistical Learning for Biomedical Data

tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction;

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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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Introduction to Machine Learning

optimization. End-of-chapter exercises help readers to apply concepts learned. Introduction to Machine Learning can be used in courses for advanced;

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Practical Time Series Analysis Prediction with Statistics and Machine Learning

, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction;

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