Tag - Introduction

Book Recommendations

Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability These are the first part of my notes for chapter 3 of the Deep Learning book. They can also serve as a quick intro to probability. These notes cover about half of the chapter (...

Data Science 101: GPU Programming for Beginners

The presentation below is an educational resource that sets the stage for parallel programming with GPUs (graphics processing units) and was sponsored by the Center for Astrophysics and Supercomputing at Swinburne University of Technology. GPUs are b...

How I Unknowingly Contributed To Open Source

This article explains what is meant by the term 'open source' and why all data scientists should be a part of it. comments By Reshama Shaikh. Like many data scientists, I desired to contribute to open source, but I thought that “open source contribut...

Introduction to Forecasting with ARIMA in R

ARIMA models are a popular and flexible class of forecasting model that utilize historical information to make predictions. In this tutorial, we walk through an example of examining time series for demand at a bike-sharing service, fitting an ARIMA m...

K-means clustering

How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms Take a look at the image below. It’s a collection of bugs and creepy-crawlies of different shapes and sizes. Take a moment to categorize them by similarity into a number of...