Pranav Dar

Want to Become a Data Engineer? Here’s a Comprehensive List of Resources to get Started

Want to know how to become a data engineer? Here is a list of resources, certifications and other important links that will help you to get started with it.

Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)

This article lists down the most awesome machine learning and deep learning GitHub repositories and Reddit discussions from October 2018!

DataHack Radio #13: Data Science and AI in the Oil & Gas Industry with Yogendra Pandey, Ph.D.

What are the applications of AI in the oil and gas domain? Yogendra Pandey joins us to uncover this pertinent question & more on the DataHack Radio podcast!

DataHack Radio #12: Exploring the Nuts and Bolts of Natural Language Processing with Sebastian Ruder

This episode of DataHack Radio features NLP expert and researcher Sebastian Ruder talking about his work in the field and his advice to aspiring scientists.

5 Amazing Machine Learning GitHub Repositories & Reddit Threads from September 2018

We list down the best machine learning and deep learning GitHub repositories and Reddit discussions from September, 2018 in this article.

DataHack Radio #11: Decision Intelligence with Google Cloud’s Chief Decision Scientist, Cassie Kozyrkov

This episode of DataHack Radio features Google Cloud's Cassie Kozyrkov talking about decision intelligence and it's role in the data science world.

Building DataHack Summit 2018 – India’s Most Advanced AI Conference. Are you Ready?

We are less than two months away from DataHack Summit 2018! Preparations are in full swing. Check out all the latest updates and speakers in this article.

10 Mind-Blowing TED Talks on Artificial Intelligence Every Data Scientist & Business Leader Must Watch

There are some amazing and thought-provoking TED Talks on artificial intelligence out there, & we have hand-picked some of the best ones for you!

IBM Open Sources Comprehensive Python Toolkit for Detecting & Fighting Bias (30 Metrics, 9 Algorithms)

Performing Speech and Object Recognition using just One Model with MIT’s ML System

Researchers at MIT have designed a machine learning model that identifies objects in images using spoken descriptions (audio captions).