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AI Fairness 360 Open Source Toolkit
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. Containing over 70 fairness metrics and 10 state-of-the-art bias mitigation algorithms developed by the research community, it is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education. We invite you to use it and improve it.
ibm  ai  artificialintelligence  deeplearning  opensource  metrics 
yesterday by cyberchucktx
Machine Learning: Foundations | Hackaday
When you want a computer to do something, you program it. However, there are ways to make computers learn, at least in some situations. One technique that makes this possible is the perceptron learning algorithm. A perceptron is a computer simulation of a nerve, and there are various ways to change the perceptron’s behavior based on either example data or a method to determine how good (or bad) some outcome is.
hackaday  machinelearning  ai  artificialintelligence  deeplearning 
2 days ago by cyberchucktx

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