Algorithms Overview — Reinforcement Learning is a very vast list of algorithms. Let's look at this structure of the Reinforcement world and try to understand it. MDP World: This is the first division, Markov Decision Process(MDP). These are the algorithms that try to solve the problem, where we have an underlined vision of…

Bias & Fairness — Check out my previous blogs if you want to read more and understand topics such as what is bias, its real-world use cases, and the mitigation methods. Bias in AI Algorithmic Bias in real-world Bias Mitigation — Methods We will conclude with an overview of Bias & Fairness in AI with some key takeaways: A lot of people think that AI is some kind of magic…

How to build a Fair Model — Understanding and solving “Bias in AI” is more important than ever before. The first step to solving bias is awareness of bias which is followed by bias mitigation. AI is having a high impact on our daily lives. …

Practical Examples of Bias — ***The Intent of this blog is just to show the importance of understanding Bias in Artificial Intelligence*** While there are many real and potential benefits of using AI, a flawed decision-making process caused by Human bias embedded in AI output makes this a big concern for its real-world implementation. …

Misinterpretation of Cause and effect relationship!! — “Correlation is not causation” or “Correlation does not imply Causation” are very commonly used today in the field of AI, which makes it more important!! Let's start with an example by comparing “Cholesterol” with “Exercise” and try to understand the relationship Observations: On the left graphs, it seems like more…