Recommender systems and high-frequency trading
Podcast: Practical AI: Machine Learning, Data Science, LLMPublished On: Tue Mar 23 2021
Description: David Sweet, author of "Tuning Up: From A/B testing to Bayesian optimization", introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!
The note was deleted
The note was saved
Your message was sent