Optimization and Learning Via Stochastic Gradient Search (Princeton Series in Applied Mathematics)

Discrete Stochastic Processes: Tools for Machine Learning and Data Science (Springer Undergraduate Mathematics Series)

Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions

Princeton Companion to Applied Mathematics

Matrix Analytic Methods in Stochastic Models (Lecture Notes Pure & Applied Mathematics)