Statistical Inference and Machine Learning for Big Data Other Books in This Series

Statistics in the Public Interest Statistics in the Public Interest
Statistics in the Public Interest
2022
Multivariate Data Analysis on Matrix Manifolds Multivariate Data Analysis on Matrix Manifolds
Multivariate Data Analysis on Matrix Manifolds
2021
Statistics with Julia Statistics with Julia
Statistics with Julia
2021
Data Science for Public Policy Data Science for Public Policy
Data Science for Public Policy
2021
Mathematical Foundations for Data Analysis Mathematical Foundations for Data Analysis
Mathematical Foundations for Data Analysis
2021
First-order and Stochastic Optimization Methods for Machine Learning First-order and Stochastic Optimization Methods for Machine Learning
First-order and Stochastic Optimization Methods for Machine Learning
2020
Cohesive Subgraph Computation over Large Sparse Graphs Cohesive Subgraph Computation over Large Sparse Graphs
Cohesive Subgraph Computation over Large Sparse Graphs
2018
A Parametric Approach to Nonparametric Statistics A Parametric Approach to Nonparametric Statistics
A Parametric Approach to Nonparametric Statistics
2018
Lectures on the Nearest Neighbor Method Lectures on the Nearest Neighbor Method
Lectures on the Nearest Neighbor Method
2015