Dan Oehm | Gradient Descending

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Month: June 2018

Data Science R

Deep Neural Network from Scratch in R

June 15, 2018 Daniel Oehm 0 Comments

Neural networks evolved in the computer science domain are often the first thing people think of when they hear machine […]

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Data Science R

Unsupervised Random Forest Example

June 8, 2018 Daniel Oehm 2 Comments

A need for unsupervised learning or clustering procedures crop up regularly for problems such as customer behavior segmentation, clustering of […]

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Data Science R

Design Matrix for Regression Explained

June 7, 2018 Daniel Oehm 1 Comment

Recently I was asked about the design matrix (or model matrix) for a regression model and why it is important. […]

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Data Science R

Introduction to Outlier Detection

June 5, 2018 Daniel Oehm 0 Comments

Outlier detection and treatment is an important part of data analysis and one of the first things you should do […]

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Ultrarunning

UTA100 2018: Race report

June 5, 2018 Daniel Oehm 0 Comments

This was my first UTA100. A race I’ve long wanted to do. It’s an amazing event, the atmosphere is exhilarating […]

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Data Science

Agile Methodology for Data Science Projects

June 1, 2018 Daniel Oehm 0 Comments

Agile project management methodology is a powerful framework when businesses are faced with uncertainty, rigid time frames and budget constraints. […]

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Bits and Pieces
I'm pleased to be a contributor to R Bloggers. It is where you will find most of my posts featuring R.
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