Thompson Sampling Courses and Certifications

Data Science Decisions in Time: Using Data Effectively

Program optimal decisions on sequential data streams using Wald's sequential analysis, Thompson sampling, change point detection, Markov chains, and Markov decision processes.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Pascal Poupart

Bayesian and Contextual Bandits

Learn Bayesian and contextual bandits through Beta distributions, belief updates, Thompson sampling, Bernoulli rewards, and approximate reward functions.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

MLOps World: Machine Learning in Production

Multi-armed Bandits in Production at Stitch Fix

Explore scaling challenges and solutions for multi-armed bandits in online experimentation, including a new method for efficient, deterministic Thompson sampling at Stitch Fix.

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

VinAI

Adversarially Robust Stochastic Multi-Armed Bandits

Explore adversarially robust stochastic multi-armed bandits for optimal experimental design. Learn about algorithms balancing fast and robust learning in real-world applications like digital advertising.

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

Data Science Festival

Advanced Techniques for Online Advertisement Spend Optimization

Explore advanced techniques for optimizing online ad spend using Reinforcement Learning, Bayesian statistics, and Thompson sampling to improve budget allocation and maximize returns.

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

EDGE AI FOUNDATION

Multi-armed Bandit on System-on-Chip - Go Frequentist or Bayesian?

Explore multi-armed bandit algorithms for edge computing, focusing on UCB, KLUCB, and Thompson Sampling implementations on System-on-Chip for IoT, wireless radio, and robotics applications.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video