Gaussian Processes from the Ground Up!
As a researcher, I have the habit of learning new and interesting things. Most times these things turn out to become very useful one way or the other. Recent...
Posts by Category
Bayesian Inferences
DevOps
Modern Reference Architecture Deployed On AWS
Reference Architecture Infrastructure Overview
Learning
Web Scraping and Automated Job Search in Python
On my previous post A reflection on my PhD experience I stated that while waiting for my viva, I’m getting ready to start another phase of my career. I’m loo...
Machine learning
Anomaly detection algorithm implemented in Python
This post is an overview of a simple anomaly detection algorithm implemented in Python. While there are different types of anomaly detection algorithms, we w...
Neural network
Understanding Batch Normalization
I took Andrew’s Deep Learning course on Coursera, the course teaches you how to effectively design a neural network from scratch. It was extremely useful in ...
Implementing neural network from scratch!
In this post we will try to understand how a neural network works by implementing it completely from scratch. You’ll get to understand what really goes on be...
Personal
Defended!
Yay! I made it. It’s done. I have successfully defended my PhD thesis with minor corrections, supervised by Dr Prabhu Radhakrishna and examined by Emeritus P...
My Python Deliberate Practice
First of all, don’t be afraid, read Plateau of Productivity. More importantly, be patient, a good read from Peter Norvig, titled Teach Yourself Programming i...
A reflection on my PhD experience
Now that my PhD program is coming to an end, while waiting for my viva, I’m getting ready to start another phase of my career. I’m looking for a role as a ma...
Productivity
Notes from the book ‘Deep Work: Rules for Focused Success in a Distracted World’
Two Core Abilities for Thriving in the Digital Economy The ability to quickly master hard things. The ability to produce at an elite leve...