June 3rd, 2023Tech stack for rapid prototyping applicationsIn this blog I will focus on the ways in which I set up a backend and frontend to do rapid prototyping of full stack applications.
August 1st, 2022Term Frequency-Inverse Document FrequencyIn this tutorial we will look at what TF and IDF are and how they can be use to process text data in Machine learning.
July 9th, 2022Large Scale Vector ComparisonIn this post, we will look at the quora qna dataset and aim to encode and compare all question pairs. The purpose of is to look at a real dataset.
July 4th, 2022Comparing Vectors with Cosine Simlarity FunctionThis tutorial will focus on the math behind text vector similarity using numpy, pytorch, and stentence-transformers libraries in python.
Drafts
- Singular Value Decomposition and Recommendation Engines
- What Principal Component Analysis teaches us about Dimensionality reduction
- The Deep Learning Model Development Architecture
- Linear Regression: The Basis for all Modern Deep Learning Algorithms
- What RNNs are and why they are Turing Complete!
- K-arm bandit
- anomaly detection with gaussian distribution and multi-variate gaussian distribution