Tagged: Data Science

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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.

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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]

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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.

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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.

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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...

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Top 5 Algorithms Used in Data Science

Here’s a great overview of the top 5 algorithms used in Data Science, which are Decision Tree Random Forest Association Rule Mining Linear Regression K-Means Clustering But it’s this cartoon in the video that made my day.  

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Best Practices for Data Visualization

The original context for this presentation is assisting professors by explaining best practices in data visualization for class assignments. However, the fundamentals here apply to a much wider audience and uses.