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

Optimization for Machine Learning (Neural Information Processing series)

MIT Press

Calculus For Data Science: The All in One Textbook (Haneul Choi Mathematics Textbooks)

Stochastic Optimization Methods: Applications in Engineering and Operations Research

Springer

High-Performance Simulation-Based Optimization: 833 (Studies in Computational Intelligence, 833)

Springer

Metaheuristics for Data Clustering and Image Segmentation: 152 (Intelligent Systems Reference Library, 152)

Springer

Symbolic Regression

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms (Natural Computing Series)

Springer

Machine Learning Foundations: Volume 1: Supervised Learning

Addison Wesley

Minimization Methods for Non-Differentiable Functions: 3 (Springer Series in Computational Mathematics, 3)

Springer

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Springer

Springer Intelligent Computational Optimization in Engineering

Springer

First-order and Stochastic Optimization Methods for Machine Learning (Springer Series in the Data Sciences)

Springer

State of the Art in Global Optimization: Computational Methods and Applications: 7 (Nonconvex Optimization and Its Applications, 7)

Springer

Particle Swarm Optimisation: Classical and Quantum Perspectives: 16 (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

CRC Press

Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods: 434 (Lecture Notes in Control and Information Sciences, 434)

Springer

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

Springer

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

Springer

State of the Art in Global Optimization: Computational Methods and Applications: 7 (Nonconvex Optimization and Its Applications, 7)

Springer

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II: 175 (Advances in Intelligent Systems and Computing, 175)

Springer

Applied Machine Learning Using mlr3 in R

Chapman and Hall/CRC

Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Optimization for Learning and Control

Wiley

Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms: 133 (Springer Optimization and Its Applications, 133)

Springer