deep learning

A Step Towards Machine Learning Algorithms: Univariate Linear Regression

A Step Towards Machine Learning Algorithms: Univariate Linear Regression

These days the concept of Machine Learning is evolving rapidly. The understanding of it is so vast and open that everyone is having their independent thoughts about it. Here I am putting mine. This blog is my experience with the learning algorithms. In this blog, we will get to know the basic difference between Artificial Intelligence, Machine Learning, and Deep Learning. We will also get to know the foundation Machine Learning Algorithm i.e Univariate Linear Regression.

Intermediate knowledge of Python and its library (Numpy, Pandas, MatPlotLib) is good to start. For Mathematics, a little knowledge of Algebra, Calculus and Graph Theory will help to understand the trick of the algorithm.

Exploring OpenAI Gym: A Platform for Reinforcement Learning Algorithms

Exploring OpenAI Gym: A Platform for Reinforcement Learning Algorithms

According to the OpenAI Gym GitHub repository “OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. This is the gym open-source library, which gives you access to a standardized set of environments.”

Open AI Gym has an environment-agent arrangement. It simply means Gym gives you access to an “agent” which can perform specific actions in an “environment”. In return, it gets the observation and reward as a consequence of performing a particular action in the environment.