A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python
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!
Nuts and Bolts of Reinforcement Learning: Introduction to Temporal Difference (TD) Learning
Temporal difference learning is one of the core reinforcement learning concepts. Learn how it works, how it relates to Q-learning, & code it in Python!
![[Big Announcement] Your favourite hackathons now open for practice on DataHack!](https://s3-ap-south-1.amazonaws.com/av-blog-media/wp-content/uploads/2017/09/28230934/code-258x169.jpeg "[Big Announcement] Your favourite hackathons now open for practice on DataHack!")
[Big Announcement] Your favourite hackathons now open for practice on DataHack!
Analytics Vidhya DataHack platform will now have more hackathons problems from past open as practice problem. You can now continue to learn on them
Introduction to Monte Carlo Tree Search: The Game-Changing Algorithm behind DeepMind’s AlphaGo
In this article, learn how the algorithm behind DeepMind’s popular AlphaGo and AlphaGo Zero programs works – Monte Carlo Tree Search.
Reinforcement Learning: Introduction to Monte Carlo Learning using the OpenAI Gym Toolkit
This detailed article covers an introduction to the Monte Carlo Method of learning using the popular OpenAI Gym library – with Python implementation!
Reinforcement Learning Guide: Solving the Multi-Armed Bandit Problem from Scratch in Python
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.
Nuts & Bolts of Reinforcement Learning: Model Based Planning using Dynamic Programming
This article covers the basic concepts of Dynamic Programming (DP) required to master the world of reinforcement learning.
Generate Quick and Accurate Time Series Forecasts using Facebook’s Prophet (with Python & R codes)
Facebook Prophet is an open source library to create quick, accurate time series forecasts. Python & R codes along with examples of forecasts with Prophet.
An Introductory Guide to Regularized Greedy Forests (RGF) with a case study in Python
Introduction As a data scientist participating in multiple machine learning competition, I am always on the lookout for “not-yet-popular” algorithms. The way I define …
Online Learning Guide with Text Classification using Vowpal Wabbit (VW)
Introduction A large number of E-Commerce and tech companies rely on real time training and predictions for their products. Google predicts real time click-through …
