January 2019 - Technology Manthan and stay competitive

Support Vector Machine : Part 2 (Build intuition before applying mathematics)

As discussed in previous part, we continue building intuition before jumping into its (SVM) underlying mathematics. Please read previous part before reading this post. Our goal is to find the optimal hyperplane (it could be line, plane or hyperplane depending

ChatGPT: Unpacking the constructs
April 24, 2023
ChatGPT: Unpacking the constructs ChatGPT is quite a popular LLM (Large Language Model) that is widely used these …Read More »
Sentiment Analysis (Climate Summit-COP26): Jumpstart with ML coding
November 8, 2021
Machine Learning coding is considered to be the easiest of all coding landscapes whether you choose Python, Java, …Read More »
SVD to PCA: Technique to improve XAI (Explainable AI) (Part 2)
December 20, 2020
AI explainability (XAI) continues to challenge business to explain underlying reasons of a ML model behavior. With the …Read More »
SVD to PCA: Technique to improve XAI (Explainable AI) (Part 1)
December 8, 2019
XAI demand continues to grow across all industries primarily in finance and medical science. Before we decline loan, …Read More »
Support Vector Machine: Part 3 (Machine Learning with Kernel implementation)
February 24, 2019
Up until last article, I discussed about SVM and its underlying mathematics using very simple linear separable dataset …Read More »