Or how to get better at hacking? — Reading code is a hard skill to inculcate. I just realized this just recently when I had to look at every sort of code be it C++, PHP, Java or Python. And I was really amazed how people around me were able to navigate such vast and diverse code bases…

Ranging from CNN, RNN, Transformer to GANs — Neural Nets have become pretty popular today. Yet still, I see that there is a dearth of understanding about them. For one, I have seen a lot of people not being able to recognize the various types of Neural Networks and the problems they solve, let alone distinguish between them…

Parallelism and concurrency aren’t the same things. In some cases, concurrency is much more powerful. Here is a guide to help you make the most of concurrency with Asyncio. — Python is an easy language to pick up, but mastering it requires understanding a lot of concepts. In my last post, I talked about using a multiprocessing module to do parallel processing. Python also offers users the power to work with concurrency using the Asyncio module from version 3.4 forward.

Parallel processing in Python using Multiprocessing and Joblib — Finally, my program is running! Should I go and get a coffee? We data scientists have got powerful laptops. Laptops which have quad-core or octa-core processors and Turbo Boost technology. We routinely work with servers with even more cores and computing power. …

Using BERT and Huggingface to create a Question Answer Model — In my last post on BERT, I talked in quite a detail about BERT transformers and how they work on a basic level. I went through the BERT Architecture, training data and training tasks. But, as I like to say, we don’t really understand something before we implement it ourselves…

With this Simple Trick — Algorithms are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many…

BERT introduced by Google in 2018 was one of the most influential papers for NLP. But it is still hard to understand. — In my last series of posts on Transformers, I talked about how a transformer works and how to implement one yourself for a translation task. In this post, I will go a step further and try to explain BERT, one of the most popular NLP models that utilize a Transformer…