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jgscott.github.io

James Scott

James Scott's home page at the University of Texas at Austin.

http://jgscott.github.io/

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James Scott | jgscott.github.io Reviews

https://jgscott.github.io

James Scott's home page at the University of Texas at Austin.

LINKS TO THIS WEBSITE

bcomposes.com bcomposes.com

machine learning – Bcomposes

http://bcomposes.com/category/machine-learning

Computational linguistics, machine learning, programming, and random thoughts. Simple end-to-end TensorFlow examples. A walk-through with code for using TensorFlow on some simple simulated data sets. I’ve been reading papers about deep learning for several years now, but until recently hadn’t dug in and implemented any models using deep learning techniques for myself. To remedy this, I started experimenting with Deeplearning4J. A few weeks ago, but with limited success. I read more books. At the Universi...

bcomposes.com bcomposes.com

R – Bcomposes

http://bcomposes.com/category/r

Computational linguistics, machine learning, programming, and random thoughts. Simple end-to-end TensorFlow examples. A walk-through with code for using TensorFlow on some simple simulated data sets. I’ve been reading papers about deep learning for several years now, but until recently hadn’t dug in and implemented any models using deep learning techniques for myself. To remedy this, I started experimenting with Deeplearning4J. A few weeks ago, but with limited success. I read more books. At the Universi...

flavioazevedo.com flavioazevedo.com

Blog — Flavio Azevedo

http://flavioazevedo.com/stats-and-r-blog

Political Psychology and Statistics. Albertus-Magnus Platz, Cologne. R-Course] 11. Notes on RStudio and Resources. January 4, 2017. January 04, 2017. R-Course] 10. Asking for Help in R. January 4, 2017. January 04, 2017. R-Course] 09. Importing and Exporting data in R. January 4, 2017. January 04, 2017. R-course] 08. Manipulating Datasets. January 3, 2017. January 03, 2017. R-Course] 07. Generating Random Numbers. January 3, 2017. January 03, 2017. R-Course] 06. Intro to R technicals. January 3, 2017.

bcomposes.com bcomposes.com

programming – Bcomposes

http://bcomposes.com/category/programming

Computational linguistics, machine learning, programming, and random thoughts. Simple end-to-end TensorFlow examples. A walk-through with code for using TensorFlow on some simple simulated data sets. I’ve been reading papers about deep learning for several years now, but until recently hadn’t dug in and implemented any models using deep learning techniques for myself. To remedy this, I started experimenting with Deeplearning4J. A few weeks ago, but with limited success. I read more books. At the Universi...

bcomposes.com bcomposes.com

computational linguistics – Bcomposes

http://bcomposes.com/category/computational-linguistics

Computational linguistics, machine learning, programming, and random thoughts. Simple end-to-end TensorFlow examples. A walk-through with code for using TensorFlow on some simple simulated data sets. I’ve been reading papers about deep learning for several years now, but until recently hadn’t dug in and implemented any models using deep learning techniques for myself. To remedy this, I started experimenting with Deeplearning4J. A few weeks ago, but with limited success. I read more books. At the Universi...

bcomposes.com bcomposes.com

tutorial – Bcomposes

http://bcomposes.com/category/tutorial

Computational linguistics, machine learning, programming, and random thoughts. Bcomposes is now self-hosted! I finally got around to moving my blog from the free WordPress world to my own self-hosted WP instance! I’ve changed the theme and plugins, and the code examples broke, so I’ll be fixing those over time. (I already fixed the TensorFlow tutorial. Since that is my most popular post these days.). June 5, 2016. Leave a comment on Bcomposes is now self-hosted! Simple end-to-end TensorFlow examples.

bcomposes.com bcomposes.com

jasonbaldridge – Bcomposes

http://bcomposes.com/author/jasonbaldridge

Computational linguistics, machine learning, programming, and random thoughts. Co-founder of People Pattern and Associate Professor in the Department of Linguistics at the University of Texas at Austin. My primary specialization is computational linguistics and my core research interests are formal and computational models of syntax, probabilistic models of both syntax and discourse structure, and machine learning for natural language tasks in general. I’m reading Babbitt. 8220;That’s the i! The relevanc...

bcomposes.com bcomposes.com

Simple end-to-end TensorFlow examples – Bcomposes

http://bcomposes.com/2015/11/26/simple-end-to-end-tensorflow-examples

Computational linguistics, machine learning, programming, and random thoughts. Simple end-to-end TensorFlow examples. A walk-through with code for using TensorFlow on some simple simulated data sets. I’ve been reading papers about deep learning for several years now, but until recently hadn’t dug in and implemented any models using deep learning techniques for myself. To remedy this, I started experimenting with Deeplearning4J. A few weeks ago, but with limited success. I read more books. At the Universi...

wesleytansey.com wesleytansey.com

Bio by Wesley Tansey

http://wesleytansey.com/about

Geek, entrepreneur, and AI researcher. I’m a Computer Science PhD student at UT Austin working with Carlos Carvalho. My main research interests are health and wellness applications of machine learning, particularly those involving graphical models, Bayesian statistical methods, and scalable inference algorithms. My current projects include obesity and nutrition modeling, wearable devices for fitness tracking, and large-scale multiple hypothesis testing for fMRI and allele frequency studies. Sriram Gopal,...

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James Scott

Pages for more detail. Department of Information, Risk, and Operations Management (McCombs School of Business). Department of Statistics and Data Sciences (College of Natural Sciences). James G. Scott. Associate Professor of Statistics. 2110 Speedway, B6500. Austin, Texas 78712. Office: CBA 6.478. PhD in Statistics, Duke University (2009). MASt in Mathematics, University of Cambridge (2005). BS in Mathematics, University of Texas (2004).

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