Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning …
Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of …
Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on …
Learn what is deep Q-learning, how it relates to deep reinforcement learning, and then build your very first deep Q-learning model using Python!
We welcome Professor B. Ravidran to talk about his passion for reinforcement learning, the current state of the field, and how it all actually works!
In this article, learn how the algorithm behind DeepMind’s popular AlphaGo and AlphaGo Zero programs works – Monte Carlo Tree Search.
https://soundcloud.com/datahack-radio/episode-15-reinforcement-learning-xander-steenbrugge Introduction “If intelligence was a cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on …
This detailed article covers an introduction to the Monte Carlo Method of learning using the popular OpenAI Gym library – with Python implementation!
This article lists down the most awesome machine learning and deep learning GitHub repositories and Reddit discussions from October 2018!
The multi-armed bandit problem is a popular one. Here’s a refreshing take on how to solve it using reinforcement learning techniques in Python.
