Towards Mature Data Science

Some pointers I learnt with time: Think of a variety of solutions instead of going for the first solution that comes to mind Define train/test/validation data Don't commit metrics to stakeholders before trying the solutions…

Is There A Curse Of Dimensionality?

The curse of dimensionality is a famous concept in Machine Learning which says that adding more features has to come at the cost of more data otherwise the model might not generalize. Hence, it is…

The Definitive Guide To Get In Data Science

If you are here, I believe that you have a strong interest to understand what it takes to become a Data Scientist. I am writing this post because I see a tremendous amount of people…

The Data Science of Abuse

Findings suggest that the more men were abused as children, the more they were likely to rape as adults. Let us talk about the good side of Facebook, Google, Instagram and all other platforms which…

Men Vs Artificial Intelligence

“The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.” ― Edsger W. Dijkstra I and Pavan, a man with extensive experience in making trading…

How to choose a Machine Learning algorithm

This post is taken from Microsoft's blog and gives a good approach on the dilemma of algorithm selection. Considerations when choosing an algorithm Accuracy Getting the most accurate answer possible isn't always necessary. Sometimes an…

How to train your Neural Network

[latexpage] The value of a neural network lies in its hyper-tuning. General intuition The VA(validation accuracy) of your NN(Neural network) is always going to be less than TA(train accuracy). So if the maximum TA it…