Machinelearning   50194

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Pyro
Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling. It was designed with these key principles:

Universal: Pyro can represent any computable probability distribution.
Scalable: Pyro scales to large data sets with little overhead.
Minimal: Pyro is implemented with a small core of powerful, composable abstractions.
Flexible: Pyro aims for automation when you want it, control when you need it.
machinelearning  ml 
3 hours ago by aristidb
A new course to teach people about fairness in machine learning
Google’s engineering education and ML fairness teams developed a 60-minute self-study training module on fairness, which is now available publicly as part of our popular Machine Learning Crash Course
machinelearning  bias  fairness  ethics  course 
5 hours ago by gnuf
Companies are on the hook if their hiring algorithms are biased • Quartz
Dave Gershgorn:
<p>Mark J. Girouard, an employment attorney at Nilan Johnson Lewis, says one of his clients was vetting a company selling a resume screening tool, but didn’t want to make the decision until they knew what the algorithm was prioritizing in a person’s CV.

After an audit of the algorithm, the resume screening company found that the algorithm found two factors to be most indicative of job performance: their name was Jared, and whether they played high school lacrosse. Girouard’s client did not use the tool.

“It’s a really great representation of part of the problem with these systems, that your results are only as good as your training data,” Girouard said. “There was probably a hugely statistically significant correlation between those two data points and performance, but you’d be hard-pressed to argue that those were actually important to performance.”

The community of researchers and technologists studying artificial intelligence have warned that this could be possible in any similar AI algorithm that learns about people using historical data.

In 2016, Pinboard creator Maciej Cegłowski <a href="http://idlewords.com/talks/sase_panel.htm">called</a> machine learning “money laundering for bias.”

“It’s a clean, mathematical apparatus that gives the status quo the aura of logical inevitability. The numbers don’t lie,” Cegłowski said.</p>
machinelearning  bias  algorithm 
7 hours ago by charlesarthur
Companies are on the hook if their hiring algorithms are biased — Quartz
After an audit of the algorithm, the resume screening company found that the algorithm found two factors to be most indicative of job performance: their name was Jared, and whether they played high school lacrosse.
machinelearning  racistcomputer 
9 hours ago by yorksranter
Companies are on the hook if their hiring algorithms are biased — Quartz
In 2016, Pinboard creator Maciej Cegłowski called machine learning “money laundering for bias.”

“It’s a clean, mathematical apparatus that gives the status quo the aura of logical inevitability. The numbers don’t lie,”Cegłowski said.
hiring  machinelearning  statistics  technology 
10 hours ago by atbradley
[1810.06639] A Machine Learning Approach to Persian Text Readability Assessment Using a Crowdsourced Dataset
An automated approach to text readability assessment is essential to a language and can be a powerful tool for improving the understandability of texts written and published in that language. However, the Persian language, which is spoken by over 110 million speakers \cite{wikipedia_2018}, lacks such a system. Unlike other languages such as English, French, and Chinese, very limited research studies have been carried out to build an accurate and reliable text readability assessment system for the Persian language. In the present research, the first Persian dataset for text readability assessment was gathered and the first model for Persian text readability assessment using machine learning was introduced. The experiments showed that this model was accurate and could assess the readability of Persian texts with a high degree of confidence. The results of this study can be used in a number of applications such as medical and educational text readability evaluation and have the potential to be the cornerstone of future studies in Persian text readability assessment.
machinelearning 
13 hours ago by researchknowledge
Revised and Extended Remarks at "The Rise of Intelligent Economies and the Work of the IMF"
The technology to estimate them and predict from them quickly now exists. It's true that if you fit a linear regression and a non-parametric regression to the same data set, the linear regression will always have tighter confidence sets, but (as Jeffrey Racine says) that's rapid convergence to a systematically wrong answer.
ai  machinelearning  regression  statistics  bigdata  economics  econometrics 
14 hours ago by yorksranter
PhotoPrism: Browse your life in pictures
easy-to-use application that can be hosted at home or on a private server
photography  software  machinelearning 
15 hours ago by tero
deepmind/graph_nets: Build Graph Nets in Tensorflow
Build Graph Nets in Tensorflow. Contribute to deepmind/graph_nets development by creating an account on GitHub.
tensorflow  machinelearning 
yesterday by derekharmel
zackchase/mxnet-the-straight-dope: An interactive book on deep learning. Much easy, so MXNet. Wow.
An interactive book on deep learning. Much easy, so MXNet. Wow. - zackchase/mxnet-the-straight-dope
machinelearning  ai  ml  book 
yesterday by vcavallo

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