ICPSR - Machine Learning for the Analysis of Text as Data Quantitative analysis of digitized text represents an exciting and challenging frontier of data science across a broad spectrum of disciplines. From the analysis of physicians' notes to identify … Read more
Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists Part of Data Matters: Data Science Short Course Series Data science, machine learning and big data are all the rage in many areas where decisions are … Read more
Introduction to Data Mining and Machine Learning Part of Data Matters: Data Science Short Course Series This course will introduce participants to a selection of the techniques used in data mining and machine learning in a hands-on, application-oriented way. … Read more
Introduction to Data Mining and Machine Learning Part of Data Matters: Data Science Short Course Series This course will introduce participants to a selection of the techniques used in data mining and machine learning in a hands-on, application-oriented way. … Read more
Multiple imputation offers a general purpose framework for handling missing data, protecting confidential public use data, and adjusting for measurement errors. These issues are frequently encountered by organizations that disseminate data to others, as well as by individual researchers. Participants … Read more
The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential … Read more
The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential … Read more
The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential … Read more
The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential … Read more
The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential … Read more
