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Text Mining 101: A Stepwise Introduction to Topic Modeling using Latent Semantic Analysis (using Python)
Introduction Have you ever been inside a well-maintained library? I’m always incredibly impressed with the way the librarians keep everything organized, by name, content, …
Building DataHack Summit 2018 – India’s Most Advanced AI Conference. Are you Ready?
Usain Bolt created a World record by running 200m sprint in 19.30 seconds in 2008. What do you think he thought while he was preparing …
A Multivariate Time Series Guide to Forecasting and Modeling (with Python codes)
Introduction Time is the most critical factor that decides whether a business will rise or fall. That’s why we see sales in stores and …
The Winning Approaches from codeFest 2018 – NLP, Computer Vision and Machine Learning!
Introduction Analytics Vidhya’s hackathons are one of the best ways to evaluate how far you’ve traveled in your data science journey. And what better …
Reinforcement Learning Guide: Solving the Multi-Armed Bandit Problem from Scratch in Python
Introduction Do you have a favorite coffee place in town? When you think of having a coffee, you might just go to this place …
10 Mind-Blowing TED Talks on Artificial Intelligence Every Data Scientist & Business Leader Must Watch
TED talks are simply fascinating. They provide tightly knit stories in short doses with mind-blowing information and experiences. It is amazing how much knowledge …
Let’s Think in Graphs: Introduction to Graph Theory and its Applications using Python
Introduction “There is a magic in graphs. The profile of a curve reveals in a flash a whole situation — the life history of …
Nuts & Bolts of Reinforcement Learning: Model Based Planning using Dynamic Programming
Introduction Deep Reinforcement learning is responsible for the two biggest AI wins over human professionals – Alpha Go and OpenAI Five. Championed by Google …
DataHack Radio #10: The Role of Computer Science in the Data Science World with Dr. Jeannette M. Wing
Introduction Have you noticed that the recent surge of data scientists have a background in computer science? It’s not a coincidence. These two domains …
Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series
Introduction Andrew Ng is the most recognizable personality of the modern deep learning world. His machine learning course is cited as the starting point …
How Machine Learning Algorithms & Hardware Power Apple’s Latest Watch and iPhones
Introduction This is a great time to be a data scientist – all the top tech giants are integrating machine learning into their flagship …
A Gentle Introduction to Handling a Non-Stationary Time Series in Python
Introduction What do these applications have in common: predicting the electricity consumption of a household for the next three months, estimating traffic on roads …
Artificial Intelligence, Machine Learning and Big Data – A Comprehensive Report
Introduction Artificial Intelligence and Machine Learning are the hottest jobs in the industry right now. 2018 has seen an even bigger leap in interest …
Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video (with Python codes)
Introduction When I started my deep learning journey, one of the first things I learned was image classification. It’s such a fascinating part of …
An End-to-End Guide to Understand the Math behind XGBoost
Introduction Ever since its introduction in 2014, XGBoost has been lauded as the holy grail of machine learning hackathons and competitions. From predicting ad …
The 5 Best Machine Learning GitHub Repositories & Reddit Threads from August 2018
Introduction When I started using GitHub early last year, I had never imagined how useful it would become for me. Initially I only used …
DataHack Radio Episode #9: Data Science at Airbnb & Lyft with Dr. Alok Gupta
Introduction Airbnb and Lyft have transformed their respective industries in recent years using data science as their guiding light. In episode 9 of our DataHack …
Build High Performance Time Series Models using Auto ARIMA in Python and R
Introduction Picture this – You’ve been tasked with forecasting the price of the next iPhone and have been provided with historical data. This includes …
A Simple Introduction to Facial Recognition (with Python codes)
Introduction Did you know that every time you upload a photo to Facebook, the platform uses facial recognition algorithms to identify the people in …
The Ultimate Guide to 12 Dimensionality Reduction Techniques (with Python codes)
Introduction Have you ever worked on a dataset with more than a thousand features? How about over 50,000 features? I have, and let me …
