In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car… Read More »Data Science Simplified Part 6: Model Selection Methods
ECommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their… Read More »Fighting eCommerce fraud with graph technology
In this article, you will learn some modern techniques to detect whether a sequence appears as random or not, whether it satisfies the central limit… Read More »How to Detect if Numbers are Random or Not
This article was written by Kaz Sato. You may have heard the buzz about neural networks and deep learning, and want to learn more. But… Read More »Understanding Neural Networks with TensorFlow Playground
This shinyapp is a live shiny/R web application (hosted on shinyapps.io) that implements simple sentiment analysis POC with R, to have an insight about the people’s sentiment about the… Read More »Brand-Value Analysis with simple Sentiment Analysis using Shiny / R
Here I discuss four interesting mathematical problems (mostly involving famous unsolved conjectures) of considerable interest, and that even high school kids can understand. For the… Read More »Four Weird Mathematical Objects
The evolution of modern technology in the past 10 years is astounding: our mobile phones are becoming smarter by the second, our online behavior is… Read More »The Age of the Customer: The Key to the 360° View
This is our first post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive… Read More »15 Timeless Data Science Articles
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this… Read More »Book: Machine Learning with R – Second Edition
Summary: Just where are we in the Age of AI, where are we going, and what happens when we get there? When things are changing… Read More »The Three Ages of AI – Figuring Out Where We Are
