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An Introductory Guide to Deep Learning and Neural Networks (Notes from deeplearning.ai Course #1)
Introduction Having a solid grasp on deep learning techniques feels like acquiring a super power these days. From classifying images and translating languages to …
Deep Learning in the Trenches: Understanding Inception Network from Scratch
Introduction Deep learning is rapidly gaining steam as more and more research papers emerge from around the world. These papers undoubtedly contain a ton …
Must Read Books for Beginners on Machine Learning and Artificial Intelligence
This article was originally published on October 25, 2015, and updated on October 17, 2018. Introduction Machine Learning has granted incredible power to humans. …
An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes)
Introduction E-commerce has revolutionized the way we shop. That phone you’ve been saving up to buy for months? It’s just a search and a …
DataHack Radio #12: Exploring the Nuts and Bolts of Natural Language Processing with Sebastian Ruder
Introduction There’s text everywhere around us, from digital sources like social media to physical objects like books and print media. The amount of text …
A Step-by-Step Introduction to the Basic Object Detection Algorithms (Part 1)
Introduction How much time have you spent looking for lost room keys in an untidy and messy house? It happens to the best of …
An Introduction to Random Forest using the fastai Library (Machine Learning for Programmers – Part 1)
Introduction Programming is a crucial prerequisite for anyone wanting to learn machine learning. Sure quite a few autoML tools are out there, but most …
Simplifying Data Preparation and Machine Learning Tasks using RapidMiner
Introduction It’s a well-known fact that we spend too much time on data preparation and not as much time as we want on building …
5 Amazing Machine Learning GitHub Repositories & Reddit Threads from September 2018
Introduction Welcome to the September edition of our popular GitHub repositories and Reddit discussions series! GitHub repositories continue to change the way teams code …
DataHack Radio #11: Decision Intelligence with Google Cloud’s Chief Decision Scientist, Cassie Kozyrkov
Introduction What is decision intelligence? How does it tie into the world of data science? And what does Google have to do with it …
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 …
