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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Exercises in Applied Mathematics: With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics (Chapman Mathematical Notes)
Exercises in Applied Mathematics: With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics (Chapman Mathematical Notes)
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Applied Statistical Learning: With Case Studies in Stata (Statistics and Computing)
Applied Statistical Learning: With Case Studies in Stata (Statistics and Computing)
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Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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PUBLIC HEALTH DATA SCIENCE WITH R: USING STATISTICAL ANALYSIS AND MACHINE LEARNING TO UNDERSTAND POPULATION HEALTH AND DISEASE PATTERNS (THE APPLIED DATA SCIENCE WITH R SERIES)
PUBLIC HEALTH DATA SCIENCE WITH R: USING STATISTICAL ANALYSIS AND MACHINE LEARNING TO UNDERSTAND POPULATION HEALTH AND DISEASE PATTERNS (THE APPLIED DATA SCIENCE WITH R SERIES)
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Statistical Learning with Sparsity
Statistical Learning with Sparsity
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PUBLIC HEALTH DATA SCIENCE WITH R: USING STATISTICAL ANALYSIS AND MACHINE LEARNING TO UNDERSTAND POPULATION HEALTH AND DISEASE PATTERNS (THE APPLIED DATA SCIENCE WITH R SERIES)
PUBLIC HEALTH DATA SCIENCE WITH R: USING STATISTICAL ANALYSIS AND MACHINE LEARNING TO UNDERSTAND POPULATION HEALTH AND DISEASE PATTERNS (THE APPLIED DATA SCIENCE WITH R SERIES)
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Algebraic Geometry and Statistical Learning Theory: 25 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
Algebraic Geometry and Statistical Learning Theory: 25 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
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Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
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Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence: An Intuitive Guide and Practical Steps of Learning from Data
Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence: An Intuitive Guide and Practical Steps of Learning from Data
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21: 461 (Springer Proceedings in Mathematics & Statistics, 461)
Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21: 461 (Springer Proceedings in Mathematics & Statistics, 461)
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Introduction to Statistical Machine Learning
Introduction to Statistical Machine Learning
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Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions (Springer Actuarial)
Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions (Springer Actuarial)
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Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python
Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python
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Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 (Springer Proceedings in Mathematics & Statistics, 461)
Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 (Springer Proceedings in Mathematics & Statistics, 461)
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Data Science and Machine Learning by Kroese & Dirk P.Botev & Zdravko University of New South WalesTa
Data Science and Machine Learning by Kroese & Dirk P.Botev & Zdravko University of New South WalesTa
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)
Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)
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An Introduction to Statistical Learning - with Applications in Python - Springer Texts in Statistics
An Introduction to Statistical Learning - with Applications in Python - Springer Texts in Statistics
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Inference in Statistical Modelling and Machine Learning: A Concise Introduction
Inference in Statistical Modelling and Machine Learning: A Concise Introduction
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Applied Statistical Quality Control and Improvement
Applied Statistical Quality Control and Improvement
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Practical Statistical Consulting: Learning from Everyday Cases Using R
Practical Statistical Consulting: Learning from Everyday Cases Using R
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An Introduction to Statistical Learning
An Introduction to Statistical Learning
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Practical Statistical Consulting: Learning from Everyday Cases Using R
Practical Statistical Consulting: Learning from Everyday Cases Using R
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Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Foundations of Actuarial Learning and its Applications – Springer Actuarial
Statistical Foundations of Actuarial Learning and its Applications – Springer Actuarial
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Introduction to Statistical Machine Learning
Introduction to Statistical Machine Learning
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A First Course in Statistical Learning: With Data Examples and Python Code (Statistics and Computing)
A First Course in Statistical Learning: With Data Examples and Python Code (Statistics and Computing)
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Empirical Processes and Statistical Reinforcement Learning: A Festschrift in Honor of Michael R. Kosorok
Empirical Processes and Statistical Reinforcement Learning: A Festschrift in Honor of Michael R. Kosorok
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Effective Statistical Learning Methods for Actuaries II – Tree-Based Methods and Extensions
Effective Statistical Learning Methods for Actuaries II – Tree-Based Methods and Extensions
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Machine Learning Toolbox for Social Scientists : Applied Predictive Analytics with R
Machine Learning Toolbox for Social Scientists : Applied Predictive Analytics with R
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Principles of Statistical Analysis – Learning from Randomized Experiments
Principles of Statistical Analysis – Learning from Randomized Experiments
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Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights (Studies in Classification, Data Analysis, and Knowledge Organization)
Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights (Studies in Classification, Data Analysis, and Knowledge Organization)
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Multivariate Statistics and Machine Learning : An Introduction to Applied Data Science Using R and Python
Multivariate Statistics and Machine Learning : An Introduction to Applied Data Science Using R and Python
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Statistical Foundations of Actuarial Learning and its Applications (Springer Actuarial)
Statistical Foundations of Actuarial Learning and its Applications (Springer Actuarial)
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Inference in Statistical Modelling and Machine Learning : A Concise Introduction
Inference in Statistical Modelling and Machine Learning : A Concise Introduction
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The Elements of Statistical Learning – Data Mining, Inference and Prediction – Springer
The Elements of Statistical Learning – Data Mining, Inference and Prediction – Springer
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Statistical Mechanics: Entropy, Order Parameters, and Complexity
Statistical Mechanics: Entropy, Order Parameters, and Complexity
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