Category: Data Science

kmeans_c 0

K-means and Image Segmentation

In this Computerphile video, Dr Mike Pound explains how K-means sorts data based on averages.  Useful walk-through of the concept in case my previous post didn’t do it for you.

kmeans 1

How K-Means Clustering Works

K-means clustering is an important tools in data analytics.  It’s actually quite easy once you see it in action. The K-means algorithm starts by placing K points (centroids) at random locations in space. We then perform the following steps iteratively: for each instance, we assign it to a cluster with...

datascientist_infographic_thumb 0

Data Scientist Infographic

Data Science still is in its infancy as a distinct discipline and there’s many ways to define exactly what makes a data scientist a data scientist. Here’s a helpful infographic that comes pretty close to summing up the field as it exists today. [found via Twitter]

ypy 1

R vs Python in Data Science: Python

Developers love debating choice of languages almost as much as they love coding. Data Science is no exception to this and here’s part 2 of a two part series on R vs Python, with this video taking the Python side.  Watch Part 1: The R side.

hmason_innovation 0

Innovating through Data

In this talk from 2015, Hillary Mason talks about the importance of innovating with data science even after you have created a dashboard.

why_r 1

R vs Python in Data Science: R

Whether it was Java vs .NET, C# vs VB.NET, or RoR vs PHP, it seems like developers love debating choice of languages more than anything else. Data Science is no exception and here’s part 1 of a two part series on R vs Python, with this video taking the R...