Difference between revisions of "Bias and Variances"
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* [http://www.technologyreview.com/s/612876/this-is-how-ai-bias-really-happensand-why-its-so-hard-to-fix/ This is how AI bias really happens—and why it’s so hard to fix | Karen Hao] | * [http://www.technologyreview.com/s/612876/this-is-how-ai-bias-really-happensand-why-its-so-hard-to-fix/ This is how AI bias really happens—and why it’s so hard to fix | Karen Hao] | ||
* [http://www.analyticsindiamag.com/top-6-common-statistical-errors-made-data-scientists/ Top 6 most common statistical errors made by data scientists | Richa Bhatia - Analytics India] | * [http://www.analyticsindiamag.com/top-6-common-statistical-errors-made-data-scientists/ Top 6 most common statistical errors made by data scientists | Richa Bhatia - Analytics India] | ||
| + | * [http://towardsdatascience.com/data-science-concepts-explained-to-a-five-year-old-ad440c7b3cbd Data Science Concepts Explained to a Five-year-old | Megan Dibble - Toward Data Science] | ||
* [http://developer.ibm.com/articles/machine-learning-and-bias/ Machine learning and bias | IBM] [http://aif360.mybluemix.net/?_ga=2.258555210.1353694320.1576870371-739966746.1575208440 AI Fairness 360 Open Source Toolkit] 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 | * [http://developer.ibm.com/articles/machine-learning-and-bias/ Machine learning and bias | IBM] [http://aif360.mybluemix.net/?_ga=2.258555210.1353694320.1576870371-739966746.1575208440 AI Fairness 360 Open Source Toolkit] 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 | ||
Revision as of 13:59, 26 April 2020
Youtube search... ...Google search
- A Basic Recipe for Machine Learning | Hafidz Zulkifli
- Inductive Bias | Wikipedia
- Evaluation Measures - Classification Performance
- This is how AI bias really happens—and why it’s so hard to fix | Karen Hao
- Top 6 most common statistical errors made by data scientists | Richa Bhatia - Analytics India
- Data Science Concepts Explained to a Five-year-old | Megan Dibble - Toward Data Science
- Machine learning and bias | IBM AI Fairness 360 Open Source Toolkit 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
