Data Journalism

I enjoy writing about data science, machine learning, and artificial intelligence-related topics. Below are my featured articles for various publications and startups.

 

Automate Labeling with Transfer, Few-Shot, and Self-Supervised Learning

Superb AI Whitepaper

The 4 Steps To Build Out Your ML Team Productively

TOPBOTS (AI Content)

The 5 Components Towards Building Production-Ready ML System

TOPBOTS (AI Content)

A Friendly Introduction to Data-Driven Marketing

TOPBOTS (AI Content)

10 Deep Learning Best Practices to Keep in Mind in 2020

Nanonets (AI Startup)

Build or Buy Data Science Solutions

Saturn Cloud (AI Startup)

How to Manage Your ML Workflow with DVC, Weights & Biases, and Docker

Weights & Biases (AI Startup)

The 2 Hardware Architectures for Efficient Training and Inference of Deep Nets

Heartbeat (AI Startup)

Introduction to TensorFlow with Weights and Biases

Weights & Biases (AI Startup)

The 4 Research Techniques to Train Deep Neural Network Models More Efficiently

Heartbeat (AI Startup)

Why I moved from Google Colab and Amazon SageMaker to Saturn Cloud

Saturn Cloud (AI Startup)

The ABCs of Learning to Rank

Lucidworks (B2B AI Search Company)

The 5 Algorithms for Efficient Deep Learning Inference on Small Devices

Heartbeat (AI Startup)

6 Ways to Debug a Machine Learning Model

Weights & Biases (AI Startup)

Recommending Similar Fashion Images with Deep Learning

FloydHub (AI Startup)

The 3 Deep Learning Frameworks For End-to-End Speech Recognition That Power Your Devices

Heartbeat (AI Startup)

The 5 Trends Dominating Computer Vision

Heartbeat (AI Startup)

The 7 NLP Techniques That Will Change How You Communicate in the Future

Heartbeat (AI Startup)

Clustering and Classification in E-commerce

Lucidworks (B2B AI Search Company)

How to easily build a Dog breed Image classification model

Nanonets (AI Startup)

How to Classify Fashion Images easily using ConvNets

Nanonets (AI Startup)

Support Vector Machines in R Tutorial

DataCamp (Ed-Tech Platform)

Decision Trees in R Tutorial

DataCamp (Ed-Tech Platform)

Recurrent Neural Networks: The Powerhouse of Language Modeling

CodeMentor (Tech Community)

How to do Semantic Segmentation using Deep Learning

Nanonets (AI Startup)

Convolutional Neural Networks: The Biologically-Inspired Model

CodeMentor (Tech Community)

Logistic Regression in R Tutorial

DataCamp (Ed-Tech Platform)

The 5 Computer Vision Techniques That Will Change How You See The World

Heartbeat (AI Startup)

The 5 Deep Learning Frameworks Every Serious Machine Learner Should Be Familiar With

Heartbeat (AI Startup)

A Gentle Introduction to Neural Networks for Machine Learning

CodeMentor (Tech Community)

12 Useful Things to Know About Machine Learning

KD Nuggets (Data Science Publication)

A Tour of The Top 10 Algorithms for Machine Learning Newbie

Built In (Data Science Publication)

The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

KD Nuggets (Data Science Publication)

The 10 Deep Learning Methods AI Practitioners Need to Apply

KD Nuggets (Data Science Publication)

The 10 Statistical Techniques Data Scientists Need to Master

KD Nuggets (Data Science Publication)

The 10 Algorithms Machine Learning Engineers Need to Know

KD Nuggets (Data Science Publication)