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How to Lie With Statistics

An Introduction to Statistical Learning: With Applications in Python

AI for finance

The Math You Need: A Comprehensive Survey of Undergraduate Mathematics

The call of coincidence: mathematical gems, peculiar patterns, and more stories of numerical serendipity

Model-Based Machine Learning

Football Analytics with Python & R

Football Analytics with Python & R

Analysis of Experimental Data in Science and Technology

Statistics for Research

Python Deep Learning: Exploring Deep Learning Techniques and Neural Network Architectures With PyTorch

The Regularization Cookbook: Learn Practical Recipes to Improve the Robustness of Your ML Models

Practical guide to applied conformal prediction: learn and apply the best uncertainty frameworks to your industry applications

Secretariat and Man o' War: Applied Statistics and the Forbidden Comparison (Second Edition)

Sample Sizes for Clinical Trials

Sparse graphical modeling for high dimensional data: a paradigm of conditional independence tests

Sparse graphical modeling for high dimensional data: a paradigm of conditional independence tests

The Mathematics of Shuffling Cards

Characterization of Probability Distributions on Locally Compact Abelian Groups - volume 273

Numbers and Figures: Six Math Conversations Starting from Scratch - 102

Dynamics of the Box-Ball System With Random Initial Conditions Via Pitman's Transformation

Recovery Methodologies: Regularization and Sampling

Nilspace Factors for General Uniformity Seminorms, Cubic Exchangeability and Limits

Applied Stochastic Modeling

Applications of Industrial Mathematics: 158th European Study Group With Industry, Barcelona, Spain, January 27-31, 2020 - 8

Local Limit Theorems for Inhomogeneous Markov Chains - 2331

Type-Based Flood Statistics: An Interlink Between Stochastic and Deterministic Flood Hydrology - 124

Statistical Methods at the Forefront of Biomedical Advances

Biostatistics With 'R': A Guide for Medical Doctors

Mathematical Thinking: Why Everyone Should Study Math

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