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trnka + phd = ??? | natural language processing, machine learning, industrynatural language processing, machine learning, industry
http://kwtrnka.wordpress.com/
natural language processing, machine learning, industry
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trnka + phd = ??? | natural language processing, machine learning, industry | kwtrnka.wordpress.com Reviews
https://kwtrnka.wordpress.com
natural language processing, machine learning, industry
About | trnka + phd = ???
https://kwtrnka.wordpress.com/about
Natural language processing, machine learning, industry. I’m Keith Trnka, Ph.D., a researcher in natural language processing and software engineer experimenting with startup ideas. You might know me from my work at Nuance and Swype, research in language modeling for assistive technology, or adjunct teaching at the University of Delaware. If you want to see my papers or additional info, my webpage at UD. Leave a Reply Cancel reply. Enter your comment here. Address never made public). February 8, 2016.
Projecting the number of downloads for torrents | trnka + phd = ???
https://kwtrnka.wordpress.com/2015/02/13/projecting-the-number-of-downloads-for-torrents
Natural language processing, machine learning, industry. Projecting the number of downloads for torrents. February 13, 2015. May 20, 2015. One of my current projects is Over 9000. A visualization that shows which anime series are currently popular. I get the data by scraping a popular anime torrent site every day and come up with a single number that represents the popularity of a show. The problem with average number of downloads. Scrape 1: 0.12 days after release, 20,000 downloads. The download graphs ...
trnka + phd = ??? | natural language processing, machine learning, industry | Page 2
https://kwtrnka.wordpress.com/page/2
Natural language processing, machine learning, industry. Page 2 of 15. Feature scaling is important, but not how I expected. October 21, 2015. Currently I’m getting up to speed with the Keras. Library for neural networks. After about a day and a half of effort I have a neural network that’s tied with my best results ever for predicting the winner of League of Legends matches. Keras doesn’t provide exactly the same methods as a scikit-learn. If you aren’t familiar with feature scaling. Feature scaling is ...
Getting users via Reddit | trnka + phd = ???
https://kwtrnka.wordpress.com/2015/06/29/getting-users-via-reddit
Natural language processing, machine learning, industry. Getting users via Reddit. June 29, 2015. It’s tempting to focus purely on the engineering or research of a project. Hmm tempting isn’t the right word… it’s the default approach. In a typical software engineering or research job, you’re trained to leave other aspects of the project to marketing/business/etc. So last week I tried plugging Over 9000. On Reddit to grow the user base and learn more about achieving traction. One of the difficulties in us...
Finding a learning curve for Over 9000 | trnka + phd = ???
https://kwtrnka.wordpress.com/2015/05/21/finding-a-learning-curve-for-over-9000
Natural language processing, machine learning, industry. Finding a learning curve for Over 9000. May 21, 2015. August 24, 2015. Edit 5/22: I made two large mistakes in the evaluation so I’ve redone all the graphs. The findings are mostly the same. See notes at bottom for more info. (2). I’ve focused on fitting log curves with scipy and I’m starting to get setup for more rigorous machine learning. Learning curves are a useful diagnostic to assess your model (see Andrew Ng Coursera lecture link. Unfortunat...
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trnka + phd = ??? | natural language processing, machine learning, industry
Natural language processing, machine learning, industry. March 4, 2017. Subsequent posts will be on Medium. 8230; unless something goes horribly in sharing thoughts and results. Tuning dropout for each network size. February 8, 2016. February 8, 2016. In the previous post. But I learned from the Stanford CNN class. Just as a reminder this is a part of my ongoing project. To predict the winner of ranked matches in League of Legends based on information from champion select and the player histories. The hi...
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