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Victoria Catterson

Data scientist working on engineering problems.

http://www.cowlet.org/

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Victoria Catterson | cowlet.org Reviews
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Data scientist working on engineering problems.
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Victoria Catterson | cowlet.org Reviews

https://cowlet.org

Data scientist working on engineering problems.

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Understanding data science: more classification techniques

http://cowlet.org/2014/02/08/understanding-data-science-more-classification-techniques.html

Understanding data science: more classification techniques. Last time, I went step by step through training a neural network classifier in R. In this article, I’ll briefly look at three more classifiers:. Rpart decision trees,. Support vector machines, and. The diagnostic task is to classify the health of four bearings, using feature vectors derived from vibration data. There are seven health labels, with uneven numbers of samples of each class:. Making it into the training set). Rpart is a decision tree...

2

Understanding data science: dimensionality reduction with R

http://cowlet.org/2013/11/27/understanding-data-science-dimensionality-reduction-with-r.html

Understanding data science: dimensionality reduction with R. Features represent important patterns and attributes of a dataset, shrinking large volumes of raw data to more manageable sizes. But not all features are equally useful, and the information contained within a feature may relate to something you’re not interested in modelling. Selecting the most appropriate features is crucial for generating useful models. Previously, I looked at how to begin analysing a dataset. And how to design useful features.

3

Understanding data science: clustering with k-means in R

http://cowlet.org/2013/12/23/understanding-data-science-clustering-with-k-means-in-r.html

Understanding data science: clustering with k-means in R. One of the best tools for data science is clustering, where groupings of datapoints are revealed just by calculating their similarity to others. This article introduces k-means clustering for data analysis in R, using features from an open dataset calculated in an earlier article. K-means clustering on sample data, with input data in red, blue, and green, and the centre of each learned cluster plotted in black. From features to diagnosis. Salmon: ...

4

Understanding data science: classification with neural networks in R

http://cowlet.org/2014/01/12/understanding-data-science-classification-with-neural-networks-in-r.html

Understanding data science: classification with neural networks in R. Artificial neural networks are commonly used for classification in data science. They group feature vectors into classes, allowing you to input new data and find out which label fits best. This can be used to label anything, like customer types or music genres. In engineering, classifiers are often used to diagnose the health of equipment, identifying it as normal, suspect, or faulty. Visual inspection and k-means clustering. Salmon: s...

5

Listening to 200 radio stations at once

http://cowlet.org/2014/05/05/listening-to-200-radio-stations-at-once.html

Listening to 200 radio stations at once. Someone recently showed me the Web SDR (Software Defined Radio) site from the University of Twente. And asked how it was possible that 200 people could be listening to different frequencies all at once from a single radio board. It seems counterintuitive, since a conventional radio adjusts a tuner circuit to pick up a given frequency. Since the board doesn’t have 200 different tuners, how can so many users listen to different stations? CC BY-SA 2.5. Assuming the n...

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cowlet (Victoria Catterson) · GitHub

https://github.com/cowlet

Dec 26, 2010. Supporting materials for weblog series on data science. Game in JavaScript about chicken farming. Visualisation of bearing data using d3.js version 4. Weblog on data science. Open VN: An Industrial Wireless Sensor Network R&D platform. 42 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. Cowlet has no activity during this period. You can't perform that action at this time. To refresh your session. To refresh your session.

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I'm a data scientist with experience of translating industry problems into machine learning solutions. Most of my work involves doing interesting things with data, and on this site I've written a few articles about how to get into data science. There's some related code on my GitHub page. If you have any questions, send me an email at vic@cowlet.org. Or message me on Twitter at @cowlet. Visualising Employment Ontario data using non-standard plots in Matplotlib. Linear regression in Rust.

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