this is my blog where I try to explain machine learning concepts with the help of intuitions and maths. this also helps me learn new concepts as well as validate my understanding.

  1. Long Live Transformers!

    This blog post explains the transformer and its building blocks as well as how they changed the field of NLP.

    16 min read · June 15, 2021

  2. Word Embeddings

    This blog goes through the two popular techniques used for embeddings i.e. Word2Vec and GloVe in detail understanding the math along with the code implementation in PyTorch.

    37 min read · April 20, 2021

  3. Getting Started with Kaggle Competitions: Melanoma Classification Challenge

    This blog gives a gentle introduction for beginners on getting started with Kaggle competitions.

    34 min read · December 2, 2020

  4. Neural Style Transfer

    This blog walks through the intuition behind the neural style transfer and its implementation.

    15 min read · July 31, 2020

  5. Guide to NumPy For Scientific Computing

    This blog dives deeper in understanding the working of numpy along with exercises.

    43 min read · June 20, 2020