Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)
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Statistical Learning with Math and Python: 100 Exercises for Building Logic
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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)
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An Introduction to Statistical Learning - with Applications in Python - Springer Texts in Statistics
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Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions (Springer Actuarial)
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Data Science and Machine Learning by Kroese & Dirk P.Botev & Zdravko University of New South WalesTa
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Inference in Statistical Modelling and Machine Learning: A Concise Introduction
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Neural Networks and Statistical Learning – Springer Verlag
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The Statistical Physics of Data Assimilation and Machine Learning
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
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Statistical Learning Theory: 2 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Learning to Use Statistical Tests in Psychology (Open Guides to Psychology)
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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
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Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
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Statistical Foundations of Actuarial Learning and its Applications
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Statistical Machine Learning: A Unified Framework (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python
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Statistical Learning in Genetics: An Introduction Using R (Statistics for Biology and Health)
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Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series)
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Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Principles of Statistical Analysis – Learning from Randomized Experiments
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Algebraic Geometry and Statistical Learning Theory: 25 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
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