Name: Kaitao Yang
Type: User
Company: DL-APPLIED
Bio: Kaitao Yang is the founder of DL-APPLIED (www.dlapplied.com), an AI start-up in the Netherlands. He is also a Senior Data Scientist at Philips.
Location: Amsterdam, the Netherlands
Blog: https://dlapplied.com/deep-learning-training/
Kaitao Yang's Projects
Using the weather API api.weather.gov, find the average daytime temperature in four cities (Salt Lake City, Denver, Phoenix, and Tampa).
This repository shows the examples of exploring data using Python and SQL.
Deep Reinforcement Learning Hands-On, 3E_Published by Packt
leetcode solutions
🐚 OpenDevin: Code Less, Make More
The repository helps Data Science beginners to easily get started.
Reinforcement Learning (RL) is believe to be a more general approach towards Artificial Intelligence (AI). RL is the foundation for many recent AI applications, e.g., Automated Driving, Automated Trading, Robotics, Gaming, Dynamic Decision, etc. With concrete examples, this repository tries introduce clearly the basic elements of Reinforcement Learning, e.g., Agent, Environment, State, State Transition, Policy, Action, Reward, Future Return, Discounted Future Return, Exploration & Exploitation, Markov Decision Processing, The Bellman Equation, Policy-based Learning, Value-based Learning, etc.