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标签名: 统计学习

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) — 出版日期: 2005-01

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

评分: 8.7

All of Nonparametric Statistics — 出版日期: 2010-01

All of Nonparametric Statistics

评分: 8.6

统计学习导论: 基于R应用 — 出版日期: 2015-01

统计学习导论: 基于R应用

评分: 8.4

An Introduction to Computational Learning Theory — 出版日期: 1994-01

An Introduction to Computational Learning Theory

评分: 8.4

An Introduction to Categorical Data Analysis: Wiley Series in Probability and Statistics — 出版日期: 2007-01

An Introduction to Categorical Data Analysis: Wiley Series in Probability and Statistics

评分: 8.4

统计学完全教程 — 出版日期: 2008-01

统计学完全教程

评分: 8.1

Machine Learning: The Art and Science of Algorithms that Make Sense of Data — 出版日期: 2012-01

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

评分: 7.8

统计学习基础: 数据挖掘、推理与预测 — 出版日期: 2004-01

统计学习基础: 数据挖掘、推理与预测

评分: 7.6

多元统计分析及R语言建模 — 出版日期: 2011-01

多元统计分析及R语言建模

评分: 7.3

支持向量机导论 — 出版日期: 2004-01

支持向量机导论

评分: 7.0

稀疏建模理论、算法及其应用 — 出版日期: 0000-01

稀疏建模理论、算法及其应用

评分: 0.0

贝叶斯数据分析: 英文导读版·原书第3版 — 出版日期: 2016-01

贝叶斯数据分析: 英文导读版·原书第3版

评分: 0.0

Algebraic Geometry and Statistical Learning Theory — 出版日期: 2009-01

Algebraic Geometry and Statistical Learning Theory

评分: 0.0

Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction — 出版日期: 2010-01

Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction

评分: 0.0

Concentration Inequalities and Model Selection: Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003 (Lecture Notes in Mathematics / Ecole d'Eté Probabilit.Saint-Flour) — 出版日期: 2007-01

Concentration Inequalities and Model Selection: Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003 (Lecture Notes in Mathematics / Ecole d'Eté Probabilit.Saint-Flour)

评分: 0.0

Lectures on Constructive Approximation — 出版日期: 0000-01

Lectures on Constructive Approximation

评分: 0.0

Mathematical Foundations of Infinite-Dimensional Statistical Models — 出版日期: 2015-01

Mathematical Foundations of Infinite-Dimensional Statistical Models

评分: 0.0

Topics in Banach Space Theory — 出版日期: 2006-01

Topics in Banach Space Theory

评分: 0.0

Reproducing kernel Hilbert spaces in probability and statistics — 出版日期: 2003-01

Reproducing kernel Hilbert spaces in probability and statistics

评分: 0.0

Theory of Reproducing Kernels and Applications — 出版日期: 2016-01

Theory of Reproducing Kernels and Applications

评分: 0.0

Learning Theory: An Approximation Theory Viewpoint — 出版日期: 2007-01

Learning Theory: An Approximation Theory Viewpoint

评分: 0.0

Computational Learning Theory — 出版日期: 1997-01

Computational Learning Theory

评分: 0.0

Empirical Processes in M-Estimation — 出版日期: 2009-01

Empirical Processes in M-Estimation

评分: 0.0

Foundations of Data Science: A Practical Introduction to Data Science with Python — 出版日期: 2018-01

Foundations of Data Science: A Practical Introduction to Data Science with Python

评分: 0.0