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A Comprehensive Guide to Digital Marketing and Analytics Every Data Science Professional Must Read
Introduction One of the biggest challenges of breaking into the field of digital analytics is that the landscape of digital marketing is extremely complex. …
WNS Hackathon Solutions by Top Finishers
Introduction How do you prefer learning a machine learning technique? First get to know how it works on paper and then apply it? Or …
Building a Face Detection Model from Video using Deep Learning (Python Implementation)
Introduction “Computer vision and machine learning have really started to take off, but for most people, the whole idea of what a computer is …
A Practical Guide to Object Detection using the Popular YOLO Framework – Part III (with Python codes)
Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the desired result? Minimum effort, …
5 Best Machine Learning GitHub Repositories & Reddit Discussions (November 2018)
Introduction Coding is among one of the best things about being a data scientist. There are often days when I find myself immersed in …
Building a Random Forest from Scratch & Understanding Real-World Data Products (ML for Programmers – Part 3)
Introduction As data scientists and machine learning practitioners, we come across and learn a plethora of algorithms. Have you ever wondered where each algorithm’s …
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
Introduction Natural Language Processing (NLP) needs no introduction in today’s world. It’s one of the most important fields of study and research, and has …
Highlights from DataHack Summit 2018 – a Truly Overwhelming and Resounding Success!
What do you do when you have to improve upon the best? When you need to deliver what has never been done before? And …
4 Secrets for a Future Ready Career in Data Science
Introduction Automation has impacted, and will continue impacting, jobs in many domains. Every single job on this planet is subject to a risk of …
Reinforcement Learning: Introduction to Monte Carlo Learning using the OpenAI Gym Toolkit
Introduction What’s the first thing that comes to your mind when you hear the words “reinforcement learning”? The most common thought is – too …
DataHack Summit 2018 is Almost Here – WHERE HUMANS MEET ARTIFICIAL INTELLIGENCE
Are you ready to experience Artificial Intelligence in action like never before? A world where Humans meet Artificial Intelligence? Well – we are just …
Improving Neural Networks – Hyperparameter Tuning, Regularization, and More (deeplearning.ai Course #2)
Introduction Building that first model – isn’t that what we strive for in the deep learning field? That feeling of euphoria when we see …
Want to Become a Data Engineer? Here’s a Comprehensive List of Resources to get Started
Introduction Before a model is built, before the data is cleaned and made ready for exploration, even before the role of a data scientist …
A Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 – with Python codes)
Introduction Which algorithm do you use for object detection tasks? I have tried out quite a few of them in my quest to build …
Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)
Introduction “Should I use GitHub for my projects?” – I’m often asked this question by aspiring data scientists. There’s only one answer to this …
An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)
Introduction Text Summarization is one of those applications of Natural Language Processing (NLP) which is bound to have a huge impact on our lives. …
DataHack Radio #13: Data Science and AI in the Oil & Gas Industry with Yogendra Pandey, Ph.D.
Introduction Did you know that the oil and gas industry is currently only using close to 1% of the data it generates? A mind-boggling …
An Intuitive Guide to Interpret a Random Forest Model using fastai library (Machine Learning for Programmers – Part 2)
Introduction Machine Learning is a fast evolving field – but a few things would remain as they were years ago. One such thing is …
MADRaS: A Multi-Agent DRiving Simulator for Autonomous Driving Research
Introduction In this article, we present MADRaS: Multi-Agent DRiving Simulator. It is a multi-agent version of TORCS, a racing simulator popularly used for autonomous driving …
A Computer Vision Approach to Hand Gesture Recognition
Introduction Soldiers communicate with each other through gestures. But sometimes those gestures are not visible due to obstructions or poor lighting. For that purpose, …
