January 18, 2024 Python, Reinforcement Learning

Q-learning for beginners

The goal of this article is to teach an AI how to solve the ❄️Frozen Lake environment using reinforcement learning. We’re going to start from scratch and try to recreate the Q-learning algorithm by ourselves. We’ll not just understand how it works, but more importantly, why it was designed that way. By the end of this article, you’ll master the Q-learning algorithm and be able to apply it to other environments. It’s a cool mini-project that gives a better insight […]

November 7, 2020 Beginner, Data Science, Deep Learning, Github, Listicle, Machine Learning, NLP, Python, Reddit Leave a comment

The Top GitHub Repositories & Reddit Threads Every Data Scientist should know (June 2018)

Introduction Half the year has flown by and that brings us to the June edition of our popular series – the top GitHub repositories and Reddit threads from last month. During the course of writing these articles, I have learned so much about machine learning from either open source codes or invaluable discussions among the top data science brains in the world. What makes GitHub special is not just it’s code hosting and social collaboration features for data scientists. It […]

November 6, 2020 Beginner, Data Science, Listicle, NLP, Reinforcement Learning, Videos Leave a comment

11 Superb Data Science Videos Every Data Scientist Must Watch

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural Language Processing (NLP), Generative Models, and Reinforcement Learning Learn how the concepts in these videos work and build your own data science project! Introduction I love learning and understanding data science concepts through videos. I simply do not have the time to pour through books and pages of text to understand different ideas and topics. […]

September 25, 2020 Python

Introduction to Reinforcement Learning with Python

Introduction Reinforcement Learning is definitely one of the most active and stimulating areas of research in AI. The interest in this field grew exponentially over the last couple of years, following great (and greatly publicized) advances, such as DeepMind’s AlphaGo beating the word champion of GO, and OpenAI AI models beating professional DOTA players. Thanks to all of these advances, Reinforcement Learning is now being applied in a variety of different fields, from healthcare to finance, from chemistry to resource […]