Stochastic Optimization Courses and Certifications

Dynamical Modeling Methods for Systems Biology

223 ratings at Coursera

Explore dynamical modeling techniques in Systems Biology, including differential equations and stochastic models. Learn to develop testable predictions and gain insights into biological processes.

• Coursera
• 19 hours
• Self-Paced
• Paid Course

Digital Signal Processing 2: Filtering

198 ratings at Coursera

Explore digital filtering techniques, from basic concepts to advanced filter design and adaptive processing, enhancing your signal processing toolkit for real-world applications.

• Coursera
• 18 hours 24 minutes
• Self-Paced
• Paid Course

Optimization problems and algorithms [2024]

1683 ratings at Udemy

Understand, Formulate & Tackle Optimization Problems Using Heuristic Algorithms in Matlab

• Udemy
• 8 hours 4 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Analyze Advanced Data Processing

14 ratings at Coursera

Master advanced PySpark techniques for customer segmentation, text mining from images/PDFs, and Monte Carlo simulations to build scalable data-driven solutions.

• Coursera
• 3 hours 2 minutes
• Self-Paced
• Paid Course

Discrete Stochastic Processes

This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of Discrete stochastic processes.

• MIT OpenCourseWare
• 33 hours
• Self-Paced
• Free Video

Simons Institute

On Gradient-Based Optimization - Accelerated, Distributed, Asynchronous and Stochastic

1 rating

Explore advanced gradient-based optimization techniques for machine learning, including accelerated, distributed, asynchronous, and stochastic methods, with insights from differential geometry and nonconvex optimization.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

GERAD Research Center

A Tree-Search Heuristic for Stochastic Production-Distribution Planning with Transportation Mode-Dependent Lead Times

Explore a tree-search heuristic for stochastic production-distribution planning, optimizing costs and lead times across transportation modes. Gain insights into efficient problem-solving techniques for complex supply chain scenarios.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

GERAD Research Center

Enhancing General-Purpose Simulation-Based Optimization Algorithms Via Mixed Integer Linear Programming: A Case Study in Autonomous Ridesharing

Enhance simulation-based optimization for complex stochastic problems using mixed integer linear programming, illustrated through an autonomous ridesharing case study.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Comprehensive resource for probability, statistics, and random processes, featuring textbook, video lectures, online calculators, and solutions manual for engineering and mathematics students.

• Independent
• Self-Paced
• Free Online Course

Modelling events in time

2 ratings at OpenLearn

This free course develops ideas about probability and random processes. Sections 1 and 2 introduce the fundamental ideas of random processes through a series of examples. Section 3 describes a ...

• OpenLearn
• 16 hours
• Self-Paced
• Free Certificate

Simons Institute

Stochastic Programming Approach to Optimization Under Uncertainty - Part 2

Explore advanced optimization techniques for uncertain scenarios, covering dynamic programming, discretization, cutting planes, and multistage problems in reinforcement learning theory.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Paul G. Allen School

On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex

Explores advanced gradient-based optimization techniques for large-scale data analysis, including Nesterov acceleration, escaping saddle points, and accelerating Langevin diffusion.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Data Science Courses

Deep Learning Optimization: Stochastic Gradient Descent and Momentum - Lecture 3

Dive into advanced optimization techniques for deep learning, covering stochastic gradient descent, mini-batches, momentum, and Stein's unbiased risk estimator.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Financial Mathematics - Theory of Interest & Cashflow Models

366 ratings at Udemy

Master essential financial mathematics concepts, from interest rates and bonds to annuities and stochastic models. Perfect foundation for aspiring actuaries, CFAs, and financial risk managers.

• Udemy
• 2 hours 57 minutes
• Self-Paced
• Paid Course

Society for Industrial and Applied Mathematics

Accuracy of Approximation for Portfolio Optimization under Multiscale Stochastic Environment

Explore portfolio optimization with stochastic factors, focusing on approximation accuracy for value functions and strategies in multiscale environments. Covers regular and singular perturbations with various utility functions.

• YouTube
• 58 minutes
• Self-Paced
• Free Video