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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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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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Elements Of Statistical Learning Data

framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use;

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XploRe - Learning Guide

It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning;

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Statistical Learning from a Regression Perspective

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable;

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Mathematical Literacy on Statistical Measures

specification of the learning content of statistical measures, an empirical reconstruction of students' learning processes towards statistical measures;

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New Business Models in the Course of Global Crises in South Asia

and retail industry using different statistical software like SPSS and AMOS. It discusses the various changing elements of businesses such as;

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Towards Intelligent Modeling: Statistical Approximation Theory

The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence. This method of convergence;

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Elements of Statistical Computing

development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements;

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Guidance on modernizing statistical legislation

The Guidance on Modernizing Statistical Legislation aims to support and inspire countries wishing to benchmark or update the legal;

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Machine Learning for Knowledge Discovery with R

: Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies. Emphasizes broad statistical thinking;

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Statistical Learning and Data Sciences

This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015;

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Statistical Reinforcement Learning

of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches, including model-based and;

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Statistical Reinforcement Learning

of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches, including model-based and;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms;

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Statistical Quality Control - Using MINITAB, R, JMP and Python

. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year;

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Training Systems Using Python Statistical Modeling

Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key Features Get introduced to;

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Statistical Learning Theory

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem;

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An Introduction to Equilibrium Statistical Mechanics

This book presents principles, basic concepts and application of Statistical Mechanics. The standard undergraduate syllabus in Physics;

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Statistical Theory

This classic textbook is suitable for a first course in the theory of statistics for students with a background in calculus, multivariate;

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The Nature of Statistical Learning Theory

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It;

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The Nature of Statistical Learning Theory

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It;

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Introduction to Statistical Machine Learning

approach to statistical pattern recognition and the discriminative approach to statistical machine learningIncludes MATLAB/Octave programs;

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Illustrating Statistical Procedures Finding Meaning in Quantitative Data

learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can;

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Illustrating Statistical Procedures Finding Meaning in Quantitative Data

learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can;

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Statistical Data Analytics

learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical;

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