Book titles in this series

Statistical Inference and Machine Learning for Big Data

Authors:

• Mayer Alvo

• Copyright: 2022

Available Renditions

• Hard cover
• Soft cover
• eBook

Statistics in the Public Interest

In Memory of Stephen E. Fienberg

Editors:

• Alicia L. Carriquiry
• Judith M. Tanur
• William F. Eddy

• Copyright: 2022

Available Renditions

• Hard cover
• Soft cover
• eBook

Multivariate Data Analysis on Matrix Manifolds

(with Manopt)

Authors:

• Nickolay Trendafilov
• Michele Gallo

• Copyright: 2021

Available Renditions

• Hard cover
• Soft cover
• eBook

Statistics with Julia

Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Authors:

• Yoni Nazarathy
• Hayden Klok

• Copyright: 2021

Available Renditions

• Hard cover
• Soft cover
• eBook

Data Science for Public Policy

Authors:

• Jeffrey C. Chen
• Edward A. Rubin
• Gary J. Cornwall

• Copyright: 2021

Available Renditions

• Hard cover
• Soft cover
• eBook

Mathematical Foundations for Data Analysis

Authors:

• Jeff M. Phillips

• Copyright: 2021

Available Renditions

• Hard cover
• Soft cover
• eBook

First-order and Stochastic Optimization Methods for Machine Learning

Authors:

• Guanghui Lan

• Copyright: 2020

Available Renditions

• Hard cover
• Soft cover
• eBook

Deep Learning Architectures

A Mathematical Approach

Authors:

• Ovidiu Calin

• Copyright: 2020

Available Renditions

• Hard cover
• Soft cover
• eBook

Lectures on the Nearest Neighbor Method

Authors:

• Gérard Biau
• Luc Devroye

• Copyright: 2015

Available Renditions

• Hard cover
• Soft cover
• eBook

Cohesive Subgraph Computation over Large Sparse Graphs

Algorithms, Data Structures, and Programming Techniques

Authors:

• Lijun Chang
• Lu Qin

• Copyright: 2018

Available Renditions

• Hard cover
• eBook