@alvie_barr 3 years ago
Great Read! Recent Research Reveals Errors Within Key #AI Data Sets = Bias & issues w/ decision making by self-driving cars & medical algorithms Link: https://www.wired.com/story/foundations-ai-riddled-errors/ @willknight @cgnorthcutt @aleks_madry @vinayprabhu @Abebab #DataScience #100daysofcode #MedTwitterAI https://t.co/eeWnSppXD9
@KirkDBorne 5 years ago
From highly imbalanced data sets, see how #MachineLearning could be a “game changer” for Medicare Fraud Detection: https://www.hcanews.com/news/how-machine-learning-could-detect-medicare-fraud by @JackMurtha @HCA_News #BigData #DataScience #AI #FraudAnalytics #PredictiveAnalytics #HealthTech +see this book: https://amzn.to/2Uv5C6O https://t.co/zCw5rH6W12
@JeanIhm 5 years ago
When #graphs meet #MachineLearning, you can detect fraud, find anomalies in financial and medical data sets and more. Join our next @OracleAskTOM Office Hours Wednesday 8am PST 5pm CET with Sungpack Hong @oraclelabs to learn more. https://devgym.oracle.com/pls/apex/dg/office_hours/3084 @agodfrin @oraspatialsig https://t.co/EaEfLEUDAg
@NEJM 5 years ago
Data-organizing methods have been in place for centuries, but very large data sets have come into being relatively recently. The authors describe terminologies, ontologies, and the changes needed to permit analyses of #bigdata that might better serve medical decision making.
@xconomy.com 5 years ago
Zogenix Epilepsy Data Sets Up Market Battle With GW’s Cannabis Drug
@techcrunch.com 6 years ago
Concerns raised over new ethics regime for UK public sector data processing