HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

supervised learning

23 papers and 4 presentations; 26 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
MWSUG 2024 Introduction to Machine Learning in SAS [presentation] Melodie Rush source 71
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
WUSS 2024 How does SAS Viya and Open Source Integrate [presentation] Melodie Rush source 66
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
SGF 2021 Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last George S. Habek,
Suman Kumar Das		 source
presentation		 24
PHUSE EU 2020 Charles Darwin Goes AI - Evolving Neural Networks Abstract: [presentation] Dominik Habel source
video		 27
SGF 2020 Automation in SAS Visual Data Mining and Machine Learning Wendy Czika source 26
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
PharmaSUG 2020 How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process Mirai Kikawa,
Yuichi Nakajima		 source 9
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
SGF 2019 Detecting Fraud and Other Anomalies Using Isolation Forests Ryan Gillespie source 6
SGF 2019 Playing Favorites: Our Top 10 Model Studio Features in SAS Visual Data Mining and Machine Learning Wendy Czika,
Peter Gerakios		 source 16
SGF 2019 SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake Jagruti Kanjia,
Dominique Latour,
Holly Sweeney		 source 35
PHUSE US 2019 Artificial Intelligence and Healthcare Aman Bahl,
Hrideep Antony		 source
presentation source		 10
PHUSE EU 2018 Machine Learning with SAS Cathal Gallagher,
Jiangtang Hu		 source
presentation source		 3
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
SGF 2018 Are New Modeling Techniques Worth It? Tom Zougas source 8
SGF 2018 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek		 source 29
SGF 2018 New Frontiers in Pricing Analytics [presentation] Sharat Mathur source 22
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SCSUG 2004 Fraud Detection - A Primer for SAS Programmers Thomas J. Winn Jr. 9

Back to keywords