• ## Who was me?

Not that I think I have accomplished something, but I wanted to share how it all started for me. For me, and when I say me – I mean this ‘meh’ boring introvert who no one gave a fuck about. I always thought I was not even average, had zero confidence, had one hobby and…

• ## Reinforcement Learning

What is Reinforcement Learning? Case 1: Imagine student A, studying hard for the exam and they get good grades because of that. Case 2: Now imagine student B, spending time on YouTube watching PewDiePie trying to save Sven and failing as they did not study at all, of course. Throughout our lives, we have such…

• ## Freedom = Success?

What’s freedom to you? (Maybe think for a moment) To me – it’s everything. It’s my end goal, it’s the equivalent of success to me, it’s what I am seeking. A small word right? Let me tell you want it means to me. To me, freedom is the choice to make my own decisions, the…

• ## ◢ ◤

20 April 2018, I was in the 3rd year of my undergrad and had some exam going on, when I heard the news of Avicii passing away. I cried of course, I remember listening to ‘Wake me up” on loop that day. I know he still lives in our hearts, and his music is something…

• ## Random Forest : Supervised Learning Algorithm

You must have at least once solved a problem of probability in your high-school in which you were supposed to find the probability of getting a specific colored ball from a bag containing different colored balls, given the number of balls of each color. Random forests are simple if we try to learn them with…

• ## Naive Bayes Classifier : Supervised Learning Algorithm

Naive bayes is a classification algorithm (based on bayes theorem) that assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive Bayes Classifier and Collaborative Filtering together create a recommendation system that together can filter very useful information that can provide a very good…

• ## Decision Tree Algorithm: Supervised Learning

Decision trees are supervised learning algorithms, which can be used both for the purpose of classification and regression. However, more often it is used for  solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome. In…

• ## Empathy in AI

Artificial empathy (AE) or computational empathy is the development of AI systems which can detect and respond to human emotions in an empathic way. Empathy is the ability to understand or feel what the other person is experiencing by putting oneself in another’s position; and can be of different types. Now one might ask if this is encouraging or terrifying? I would say that,…

• ## (all) At Sea

I saw a man, walking towards me, very clearly, vividly. I stood there – in silence, shocked. I knew him. But I hadn’t seen him for 2 years now, exactly two years. How could he walk and come right at me?  We’re not in the same city, or country or continent, I think.  But he’s…

• ## SVM: Supervised Learning Algorithm

Now since we have already discussed linear regression and logistic regression algorithms in detail, it’s time to move on to Support Vector Machine (SVM).  SVM is another simple yet crucial algorithm that every machine learning expert should have in their armaments.  SVM is highly preferred by many as it produces significant accuracy with less computation…