Tech Blogs

Sharing My Learning in Math, Programming and AI

Parallelism and Concurrency

python

We discuss the Theoretical Foundation of Parallelism and Concurrency and some low level primitives. Discuss how it is done on Python and compare it with other programming language.

Big Data Processing

big-data

AWS

Exploring different tools and technologies to store, integrate, analyze, process, visualize data at large scale in a batch and stream fashion both with custom tools and AWS managed services

Data and Model Management | Model Monitoring and Logging.

machine-learning

deep-learning

In this post, we discuss ways of managing different versions of Data and Model artificats. Configuration Management and Data Validation. Monitoring the model using TIG stack. Logging and Alert.

Different types of Attentions

deep-learning

attention

A dive into different types of attention from it start with Bahdanau to Flash Attention.

Improve Model’s Prediction power using Regularization

deep-learning

Different ways to increase the model’s prediction power using different regularization Techniques

Convolution and Common architectures

deep-learning

convolution

Understanding different types of CNN layers and some common architectures

Optimizers in - Deep Learning

deep-learning

optimization

3D visualization of different optimizers.

Metrics for Machine Learning

machine-learning

deep-learning

metrics

A deep dive into different types of Metrics for evaluating Machine Learning Models.

Object Detection

deep-learning

vision

Object Detection - SSD | YOLO | R-CNN | Fast R-CNN | Faster R-CNN

Linguistics

nlp

Deep into linguistics, For the curious souls to know why sometime languages don’t make sense and we want computers to understand it better than us.

Weight Intialization

deep-learning

Learning different ways of weight Intialization their effects and common pitfalls.

Memory and Time Profiling

python

Let’s save some time and memory, coz both are expensive.

Functional Programming capabilites of python

python

Lambda, Comphrensions, Decorators and Generators with some sweet python tips and tricks.

Word Embeddings

deep-learning

nlp

Word2vec, Glove, Fastext, ELMO, Character-Aware Language Model

RNN Models

deep-learning

nlp

We go through RNN, LSTM, GRU building intution and coding from scratch to understand forward and backward pass.

NLP Overview

deep-learning

nlp

What is NLP, what problems does it solve and components within it.