Exploratory Data Analysis
Dr. Brian Caffo from Johns Hopkins presents a lecture on "Exploratory Data Analysis."
Lecture Abstract
Exploratory data analysis (EDA) is the backbone of data science and statistical analysis. EDA is the process of summarizing characteristics of a data set using tools such as graphs and statistical models. EDA is a principal method for creating new hypotheses or determining basic empirical support for evolving existing hypotheses.
EDA often yields key insights, especially those provided by plots and graphs, where key insights often hit you right between the eyes. In addition, new technology, such as interactive graphics, is greatly enabling EDA. However, care must be taken in EDA to not over-interpret the degree of confirmatory force of conclusions and to avoid attaching strict inferential interpretations to results.
This lecture covers the basics of EDA, summarizes some key tools and discusses its role in inference.
View slides
https://drive.google.com/open?id=0B4I...
About the Speaker
Brian Caffo, PhD received his doctorate in statistics from the University of Florida in 2001 before joining the faculty at the Johns Hopkins Department of Biostatistics, where he became a full professor in 2013. He has pursued research in statistical computing, generalized linear mixed models, neuroimaging, functional magnetic resonance imaging, image processing and the analysis of big data. He created and led a team that won the ADHD-200 prediction competition and placed twelfth in the large Heritage Health prediction competition. He was the recipient the Presidential Early Career Award for Scientist and Engineers, the highest award given by the US government for early career researchers in STEM fields. He co-created and co-directs the SMART (www.smart-stats.org) group focusing on statistical methodology for biological signals. He also co-created and co-directs the Data Science Specialization, a popular MOOC mini degree on data analysis and computing having over three million enrollments. Dr. Caffo is the director of the graduate programs in Biostatistics and is the recipient of the Golden Apple teaching award and AMTRA mentoring awards.
Join our weekly meetings from your computer, tablet or smartphone.
Visit our website to learn how to join! http://www.bigdatau.org/data-science-...
In questa pagina del sito puoi guardare il video online Exploratory Data Analysis della durata di ore minuti seconda in buona qualità , che l'utente ha caricato The Foundations of Biomedical Data Science 09 dicembre 2016, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 4,963 volte e gli è piaciuto 46 spettatori. Buona visione!
