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Eric M Walton | Recent Projects

Clustering and Image Compression. Explores the differences between K-Means, EM, and Spectral clustering by applying them to compress images and gradients. See more. Evaluates 23 million poker hands per second, determining a winner for each and computing the win probability for each player. I am really proud of this one. It was a long time in the making, and from what Ive seen online it is competitive with the fastest programs of its kind. See more. Poker Hand History Parser.

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Eric M Walton | Recent Projects | ericmwalton.com Reviews
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Clustering and Image Compression. Explores the differences between K-Means, EM, and Spectral clustering by applying them to compress images and gradients. See more. Evaluates 23 million poker hands per second, determining a winner for each and computing the win probability for each player. I am really proud of this one. It was a long time in the making, and from what Ive seen online it is competitive with the fastest programs of its kind. See more. Poker Hand History Parser.
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1 waltonericm@gmail com
2 eric m walton
3 recent projects
4 experience
5 education
6 resumé
7 matlab
8 machine learning
9 poker odds calculator
10 statistics
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waltonericm@gmail com,eric m walton,recent projects,experience,education,resumé,matlab,machine learning,poker odds calculator,statistics,principal components analysis,sorting in parallel,cuda
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Eric M Walton | Recent Projects | ericmwalton.com Reviews

https://ericmwalton.com

Clustering and Image Compression. Explores the differences between K-Means, EM, and Spectral clustering by applying them to compress images and gradients. See more. Evaluates 23 million poker hands per second, determining a winner for each and computing the win probability for each player. I am really proud of this one. It was a long time in the making, and from what Ive seen online it is competitive with the fastest programs of its kind. See more. Poker Hand History Parser.

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ericmwalton.com ericmwalton.com
1

Eric M Walton | Recent Projects

http://www.ericmwalton.com/PCA.html

Larr; back to full list. Given: 2,414 greyscale images of faces, each 48 x 42 pixels. Each pixel is represented by a number from 0 to 255, 0 black, 255 white. Using Principal Components Analysis, we can reduce the dimensionality of each image without much loss of detail. I give mathematical background and derivations in this pdf.

2

Eric M Walton | Recent Projects

http://www.ericmwalton.com/Clustering.html

Larr; back to full list. Given an image with red, green, and blue values for each pixel, I used various clustering techniques to group pixels of similar color. The image can be compressed, then, by setting each pixel to the mean color value of its cluster. I was less interested in compression itself, though, than in comparing clustering methods. I give mathematical background and derivations in these PDFs: Expectation Maximization. The data sets for the demos above were provided by Gopal Nataraj, adapted...

3

Eric M Walton | Education

http://www.ericmwalton.com/Education.html

Machine Learning / Applied Linear Algebra private instructor. Solved real-world problems using PCA, spectral/EM clustering, support vector machines, etc. Developed extensive mathematical background. Visualized data and solutions using Matlab. Introduction to Parallel Programming www.udacity.com/course/cs344. Implemented maps, reductions, histograms, and sorting algorithms in parallel. Learned CUDA, a C framework developed by NVIDIA. Introduction to Hadoop and MapReduce www.udacity.com/course/ud617.

4

Eric M Walton | Recent Projects

http://www.ericmwalton.com/PokerOdds.html

Larr; back to full list. To evaluate the exact winning percentage between two Texas Holdem starting hands, it is necessary to iterate through all 1,712,304 permutations of board cards. My version, working on a 2.67 Ghz laptop, evaluates 23 million 7-card hands per second, which is in line with the fastest versions. Described on the internet. The entire project is available as a Github repository. Is this a straight? Your browser does not support the HTML5 canvas tag. 9 - high straight.

5

Eric M Walton | Recent Projects

http://www.ericmwalton.com/index.html

Clustering and Image Compression. Explores the differences between K-Means, EM, and Spectral clustering by applying them to compress images and gradients. See more. Evaluates 23 million poker hands per second, determining a winner for each and computing the win probability for each player. I am really proud of this one. It was a long time in the making, and from what Ive seen online it is competitive with the fastest programs of its kind. See more. Poker Hand History Parser.

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EricMWalton (Eric Walton) · GitHub

https://github.com/EricMWalton

Ann Arbor, MI. Http:/ www.ericmwalton.com. May 7, 2013. Evaluates winning odds for Texas Hold'em poker. Sorts in parallel, using an LSD - radix sort. Parses hand history files from online poker. Secure firebase state machines. 0 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. EricMWalton has no activity during this period. You can't perform that action at this time. You signed in with another tab or window. Reload.

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Eric Walton | Codecademy

https://www.codecademy.com/EricMWalton

Your browser is not supported. Click here to learn more. Ann Arbor, MI. I am a self-taught (and online-taught) programming guru. I love dogs, bicycles, music, and programming. Http:/ www.ericmwalton.com. Joined May 3, 2013. Last coded over 2 years ago. Completed over 3 years ago. Completed over 3 years ago. Completed almost 3 years ago. Browse All Projects (0). Teaching the world how to code. Make an Interactive Website. Introduction to React.js: Part I. Introduction to React.js: Part II.

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Eric M Walton | Recent Projects

Clustering and Image Compression. Explores the differences between K-Means, EM, and Spectral clustering by applying them to compress images and gradients. See more. Evaluates 23 million poker hands per second, determining a winner for each and computing the win probability for each player. I am really proud of this one. It was a long time in the making, and from what Ive seen online it is competitive with the fastest programs of its kind. See more. Poker Hand History Parser.

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