March 25, 2019
The most common confusion that beginners have when they start to learn Machine Learning is- “Are Artificial Intelligence(AI), Machine Learning(ML) and Deep Learning(DL) the same thing?” And that’s a question which I personally hear a lot from so many people. So, I thought why not make a blog post to explain it?
March 17, 2019
Exploratory Data Analysis (EDA) is the process of visualizing and analyzing data to extract significant insights from it. In other words, EDA is the process of summarizing main characteristics of data in order to gain better understanding of the dataset. In this article, we are going to introduce you to the process of EDA through the analysis of the automobile dataset.
March 16, 2019
Think about how a kid learns to ride a bicycle. No one gives him/her datasets to analyze. They learn by trying different things and then observing the effects of their actions. Similarly, can we also teach computers to learn from their mistakes? And the answer lies with Reinforcement Learning.
February 28, 2019
Wondered how Google comes up with movies that are similar to the ones you like? After reading this post you will be able to build one such recommendation system for yourself. In this article, we are going to implement a content based recommendation system using the scikit-learn library.
February 22, 2019
A multi-label classification problem is one in which a list of target variables is associated with every row of input. An example of this would be the various tags associated with medium articles. In this article we will be labeling satellite images.
February 20, 2019
In this post we have discussed about the gradient descent algorithm and how it can help us solving machine learning problems. We have discussed about the theory behind gradient descent algorithm and then implemented it from scratch using Python. More specifically, we have shown how to practically implement the stochastic gradient descent algorithm for linear regression models.
February 19, 2019
I recently started the deep learning course on fastai. I’m only two weeks into the course and I’m already on my 4th or 5th project. To test my skills I decided to take part in Intel Scene Classification Challenge hackathon. And with just a few lines of code I was in the top 2% of the competition.
June 01, 2018
India produces more than 1.5 million engineers every year but less than 10% of these graduates are actually employable. Engineering education in the United States, on the other hand, is considered one of the best education systems in the world — fostering innovation, entrepreneurship and state-of-the-art research. As someone who has lived through both of these highly distinct systems, I felt the need to share the differences that I have observed among them.