My Writing

I've been writing since 2017, here are the list of all my tutorials, guides related to Web, Machine Learning, Low Code and many more.

How To Use Unsupervised Learning With Python To Find Patterns In Data

Published on: June 7, 2019

Reinforcement Learning With Python: A Guide To Designing And Solving Problems

Published on: June 7, 2019

An Introduction To Machine Learning For Beginners

Published on: June 7, 2019

Implementing Python in Deep Learning: An In-Depth Guide

Published on: June 7, 2019

A Beginner's Guide To Supervised Learning With Python

Published on: June 7, 2019

A Guide to Logistic Regression with Tensorflow 2.0

Published on: April 28, 2020

3D RENDERING USING THREE.JS

Published on: April 16, 2020

A Quick Introduction to Segmentation, Correlation and Time Series Modeling

Published on: April 9, 2020

PYTORCH VS. TENSORFLOW: Which Framework is best for your deep learning project?

Published on: September 19, 2020

Linear Regression: Concepts and Applications with Tensorflow 2.0

Published on: April 24, 2020

Convolution Neural Networks Explained: Using PyTorch

Published on: Aug 19, 2020

A QUICK PRIMER ON FEEDFORWARD NEURAL NETWORKS

Published on: September 4, 2019

REGRESSION IN MACHINE LEARNING: WHAT IT IS AND EXAMPLES OF DIFFERENT MODELS

Published on: September 4, 2019

Beginner's Guide to Boltzmann Machines in PyTorch

Published on: November 20, 2020

A Comprehensive Guide to the DataLoader Class and Abstractions in PyTorch

Published on: November 27, 2020

How JavaScript Libraries Are Training Neural Networks on Web Browsers

Published on: January 7, 2021

Capsule Networks: A Quick Primer

Published on: July 7 2020

DL Architectures Review: DenseNet, ResNeXt, MnasNet, and ShuffleNet v2

Published on: July 22 2020

DL Architectures Review: ResNet, InceptionV3, and SqueezeNet

Published on: July 7 2020

DL Architectures Review: AlexNet, VGG16, and GoogleNet

Published on: July 7 2020

Fighting COVID-19 with Data and AI: A Review of Active Research Groups and Datasets

Published on: April 9 2020

A Guide To Random Forests: Consolidating Decision Trees

Published on: Feb 16, 2020

An Introduction to Decision Trees

Published on: Feb 14, 2020

Introduction to Bagging and Ensemble Methods

Published on: Jan 13, 2020

Deploying Deep Learning Models Part 2: Hosting on Paperspace[1]

Published on: April 5, 2020

Deploying Deep Learning Models Part 2: Hosting on Paperspace[2]

Published on: April 4, 2020

A Guide to AdaBoost: Boosting To Save The Day

Published on: May 29, 2020

Gradient Boosting In Classification: Not a Black Box Anymore!

Published on: June 3, 2020

Introduction to Naive Bayes: A Probability-Based Classification Algorithm

Published on: June 14, 2020

Convert from PDF to JSON

Published on: May 27, 2021

How to easily parse 10Q, 10K, and 8K forms

Published on: May 14, 2021

How to easily extract data from Pay slip using deep learning

Published on: April 11, 2021

How to OCR Resumes using Intelligent Automation

Published on: January 11, 2021

A Comprehensive Guide to OCR with RPA and Document Understanding

Published on: January 14, 2021

How to Export from PDF to Excel

Published on: January 19, 2021

ID Card Digitization and Information Extraction using Deep Learning - A Review

Published on: January 27, 2021

Automating Invoice Processing in Construction Companies

Published on: December 27, 2020

AWS Textract Teardown - Pros and Cons of using Amazon's Textract in 2021

Published on: February 27, 2020

How to easily OCR passport and ID cards

Published on: March 3, 2020

Table Detection, Information Extraction and Structuring using Deep Learning

Published on: March 10, 2020

How to extract data from ACORD forms

Published on: April 10, 2020