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DataHack Radio Episode #8: How Self-Driving Cars Work with Drive.ai’s Brody Huval

In this podcast, Drive.ai's co-founder Brody Huval sheds light on the various intriguing facets of self-driving cars and how to build one from scratch!

DataHack Radio Episode #7: Tackling Data Science Challenges in India with NITI Aayog’s Dr. Avik Sarkar (Independence Day Special!)

The Best Machine Learning GitHub Repositories & Reddit Threads from July 2018

Take a look at the top machine learning and data science GitHub repositories and Reddit discussions that were designed and created in July, 2018.

Comprehensive Hands on Guide to Twitter Sentiment Analysis with dataset and code

The task is to detect hate speech in tweets using Sentiment Analysis. In this tut, we will follow a sequence of steps needed to solve a sentiment analysis

Top 10 Pretrained Models to get you Started with Deep Learning (Part 1 – Computer Vision)

Top 10 pre trained deep learning models for the field of computer vision. In this article learn how you can get started with them.

DataHack Radio Episode #5: Building High Performance Data Science teams with Kiran R

This a MUST-LISTEN podcast that covers a variety of topics ranging from machine learning competitions to how a data science team is typically structured.

Ultimate Guide: Building a Mask R-CNN Model for Detecting Car Damage (with Python codes)

An introductory guide to teach you how to build a custom mask r cnn model for detecting damage in cars with python codes.

Using the Power of Deep Learning for Cyber Security (Part 1)

In this article we explore deep learning applications for cyber security. Learn about infosec and a brief overview of Feed Forward Neural Network.

Understanding and Building an Object Detection Model from Scratch in Python

Object detection is seeing a boom in the machine learning space in recent times. Learn how to build object detection models from scratch in Python.

Hiring the Right Data Scientist – The Needle in a Haystack Problem

Hiring the right data scientist has proven to be quite challenging for organisations. What are some of the pitfalls hiring managers face? What makes a good data scientist? We cover all of this in this article.