Data science

2023/05/01 Re-Reading Deming’s 14 Points in the Era of Data Science
2023/04/20 Starting to think about AI Fairness
2023/02/27 The Imminent Danger of A.I. Is One We’re Not Talking About
2022/11/12 Machine learning resources from a seminar by Shuhao Cao
2022/11/12 The POSIX time standard
2022/04/22 The Use and Interpretation of Competing Risks Regression Models
2022/03/08 IBM Watson: Why Is Healthcare AI So Tough?
2021/12/30 Federated Learning and Privacy
2021/10/28 The dark side of big data
2021/10/22 Survival of the best fit
2021/10/21 Ethical data science
2021/05/31 Finally, a proven method to show just how funny I am
2021/04/29 COMPAS Recidivism Risk Score Data and Analysis
2021/04/29 Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
2021/04/16 Amazon scraps secret AI recruiting tool that showed bias against women
2021/04/16 Ethical AI: A Framework for Justice
2020/10/22 The Evolution of Data Science … As I Remember It
2020/09/26 Philosophy of Data Science | Welcome to the Series!
2020/08/31 Wavelet Pooling for Convolutional Neurual Networks
2020/08/21 AI Fairness 360 Open Source Toolkit
2020/08/11 Any sufficiently advanced math
2020/08/11 Data 8: The Foundations of Data Science
2020/08/11 Simple Demographics Often Identify People Uniquely
2020/07/30 Data for Black Lives
2020/06/11 How to Call B.S. on Big Data.
2020/03/10 UMKC big data and data science initiatives
2019/04/25 Data science curriculum roadmap
2019/04/17 What would Florence Nightingale make of big data?
2019/04/16 When Big Data goes to school
2019/03/25 Data Science Has Become About Lending False Credibility To Decisions We’ve Already Made
2019/03/15 A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019/02/14 Cartoon: Some good predictive analytics software
2019/01/20 In a world where the price of calculation continues to decrease rapidly
2019/01/09 How a Feel-Good AI Story Went Wrong in Flint
2018/08/13 The Dark Side of Data Science
2018/08/01 GloVe word vector embeddings
2018/08/01 Practical deep learning for coders
2018/06/28 Microsoft is creating an oracle for catching biased AI algorithms
2018/06/09 Big data groups at UMKC and UM/Columbia
2018/04/03 Statistical and Machine Learning forecasting methods: Concerns and ways forward
2018/03/25 Two articles published in the Encyclopedia of Big Data
2018/03/23 Welcome to developerWorks
2018/01/26 My work on a CTSA grant
2018/01/02 The Origins of ‘Big Data’
2017/11/27 Can A.I. be taught to explain itself
2017/11/15 Beanumber repository
2017/11/15 Teaching precursors to data science in introductory and second courses in statistics
2017/05/18 This is your machine learning system?
2017/05/02 ROSE: A package for binary imbalanced learning
2017/04/13 Genetics: Clues in the code
2017/04/13 How Bright Promise in Cancer Testing Fell Apart
2017/04/13 Standards and guidelines for the interpretation of sequence variants
2017/02/23 Text Mining with R
2016/05/16 Examining the storage format for sparse matrices in R
2015/01/12 Tessera. Open source environment for deep analysis of large complex data
2014/07/14 Special issue–Using Big Data to Transform Care
2014/04/08 More on Big Data Training for the Scientific Workforce
2014/02/24 NIH is interested in big data
2008/11/01 Comparing a set of microarray experiments to a model experiment
2006/01/24 Machine Learning tools in R