Categories
Data Science OMSCS

Deep Learning Image Processing Tasks

Image Classification: Class distribution per image Semantic Segmentation: Class distribution per pixel Instance Segmentation: Class distribution per pixel with unique ID Object Detection: List of bounding boxes with Class distribution per box

Categories
Data Science

Easy explanation of Convolution vs Cross-Correlation in Convolutional Neural Networ (CNN)

Convolution layer for CNN is explained in simple words

Categories
Uncategorized

Neural Network Differentiation

To differentiate the loss function in a Neural Network, there are four options Manual differentiation: It is labor intensive and often it is hard to calculate the closed form solution especially for complex function Symbolic differentiation: Like manual, it is also hard for complex function Numerical differentiation: Can handle complex function but may cause numerical […]

Categories
OMSCS

My OMSCS journey

I started my MS in Computer Science at Georgia Tech in Spring 2019. Since then it has been a very challenging yet rewarding journey. Let me revisit the courses every semester. Database System Design Reinforcement Learning and Decision Making (Eventually dropped) Software Architecture and Design Graduate Introduction to Operating System Information Security Machine Learning for […]

Categories
Essays

The Most Important Skill in the Future

Asking questions is the most important skill in the future. Finding the possible answers of the question is the next most important skill.

Categories
Algorithms Data Science OMSCS

Game Theory Concepts for Reinforcement Learning

There are many flavors of games in Game Theory which are interesting from Machine Learning perspectives, especially from multi-agent Reinforcement Learning applications. Here is the summary of multiple game types are if MinMax algorithm works and what type of strategy one needs to employ.

Categories
Data Science

Information Theory Concepts for Machine Learning

Entropy is the fundamental unit of information in Information Theory and is extensively useful in Machine Learning. Let us introduce the concepts: Entropy, Joint Entropy, Mutual Information.

Categories
Algorithms

Quick Sort

This class implements a QuickSort algorithm using Hoare Paritioning scheme. This partitionining scheme is slightly harder to implement but is more efficient than the Lamuto partitioning scheme. Avg Time-Complexity: O(nlogn) Worst Time-Complexity: O(n^2) Space complexity: O(1) Implementation in Java Unit Testing Now test a few cases and see if the implementation passes all of them […]

Categories
Uncategorized

Merge Sort (Draft)

Categories
Algorithms

Binary Tree Traversal

A binary tree is one where each of its nodes has maximum two children nodes. These children are mostly known as Left and Right child. 1. In-order Traversal It goes from left child then current node then right childSo for the given tree above it will be: [2,17,7,19,3,100,25,36,1] 2. Pre-order Traversal It first deals with […]