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X-WR-CALNAME:Institute for Digital Research and Education
X-ORIGINAL-URL:https://idre.ucla.edu
X-WR-CALDESC:Events for Institute for Digital Research and Education
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DTSTART;TZID=America/Los_Angeles:20260503T021522
DTEND;TZID=America/Los_Angeles:20260503T021522
DTSTAMP:20260503T021522
CREATED:20250612T194849Z
LAST-MODIFIED:20250612T194849Z
UID:25985-0-0@idre.ucla.edu
SUMMARY:While machine learning methods have traditionally been used for prediction in fields like industry and technology\, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation. Part 2 introduces commonly used methods for scientific research\, including ridge regression\, LASSO\, principal components analysis (PCA)\, regression trees\, and random forests. Practical examples and demonstrations will be provided using R\, and we will discuss how these tools can complement traditional statistical approaches in scientific research. No prior experience with machine learning is required\, though familiarity with basic regression is recommended.
DESCRIPTION:Machine Learning for Scientific Research. Part 2
URL:https://idre.ucla.edu/calendar-event/while-machine-learning-methods-have-traditionally-been-used-for-prediction-in-fields-like-industry-and-technology-they-are-increasingly-being-adopted-in-scientific-research-for-exploration-and-infer-3
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260503T021522
DTEND;TZID=America/Los_Angeles:20260503T021522
DTSTAMP:20260503T021522
CREATED:20250612T194848Z
LAST-MODIFIED:20250612T194848Z
UID:25983-0-0@idre.ucla.edu
SUMMARY:This workshop introduces the functionality of Stata with a focus on data analysis. We will discuss the basic interface and do-files as well as explore commands to import data\, create and modify variables\, summarize variables\, visualize data\, combine data sets\, and to run basic analyses. No experience with Stata is assumed.
DESCRIPTION:Introduction to Stata
URL:https://idre.ucla.edu/calendar-event/this-workshop-introduces-the-functionality-of-stata-with-a-focus-on-data-analysis-we-will-discuss-the-basic-interface-and-do-files-as-well-as-explore-commands-to-import-data-create-and-modify-variab-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260503T021522
DTEND;TZID=America/Los_Angeles:20260503T021522
DTSTAMP:20260503T021522
CREATED:20250612T194848Z
LAST-MODIFIED:20250612T194848Z
UID:25984-0-0@idre.ucla.edu
SUMMARY:While machine learning methods have traditionally been used for prediction in fields like industry and technology\, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation. Part 2 introduces commonly used methods for scientific research\, including ridge regression\, LASSO\, principal components analysis (PCA)\, regression trees\, and random forests. Practical examples and demonstrations will be provided using R\, and we will discuss how these tools can complement traditional statistical approaches in scientific research. No prior experience with machine learning is required\, though familiarity with basic regression is recommended.
DESCRIPTION:Machine Learning for Scientific Research. Part 1
URL:https://idre.ucla.edu/calendar-event/while-machine-learning-methods-have-traditionally-been-used-for-prediction-in-fields-like-industry-and-technology-they-are-increasingly-being-adopted-in-scientific-research-for-exploration-and-infer-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260503T021522
DTEND;TZID=America/Los_Angeles:20260503T021522
DTSTAMP:20260503T021522
CREATED:20250612T194847Z
LAST-MODIFIED:20250612T194855Z
UID:25982-0-0@idre.ucla.edu
SUMMARY:This workshop will show how descriptive analyses\, both numerical and graphical\, can be done with continuous and categorical variables. Subpopulation analysis will be discussed and then examples of OLS regression and logistic regression will be considered.
DESCRIPTION:Survey Data Analysis with R
URL:https://idre.ucla.edu/calendar-event/this-workshop-will-show-how-descriptive-analyses-both-numerical-and-graphical-can-be-done-with-continuous-and-categorical-variables-subpopulation-analysis-will-be-discussed-and-then-examples-of-ols
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260503T021522
DTEND;TZID=America/Los_Angeles:20260503T021522
DTSTAMP:20260503T021522
CREATED:20250612T194846Z
LAST-MODIFIED:20250612T194847Z
UID:25980-0-0@idre.ucla.edu
SUMMARY:While machine learning methods have traditionally been used for prediction in fields like industry and technology\, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation. Part 2 introduces commonly used methods for scientific research\, including ridge regression\, LASSO\, principal components analysis (PCA)\, regression trees\, and random forests. Practical examples and demonstrations will be provided using R\, and we will discuss how these tools can complement traditional statistical approaches in scientific research. No prior experience with machine learning is required\, though familiarity with basic regression is recommended.
DESCRIPTION:Machine Learning for Scientific Research. Part 2
URL:https://idre.ucla.edu/calendar-event/while-machine-learning-methods-have-traditionally-been-used-for-prediction-in-fields-like-industry-and-technology-they-are-increasingly-being-adopted-in-scientific-research-for-exploration-and-infere
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260503T021522
DTEND;TZID=America/Los_Angeles:20260503T021522
DTSTAMP:20260503T021522
CREATED:20250612T194845Z
LAST-MODIFIED:20250612T194845Z
UID:25979-0-0@idre.ucla.edu
SUMMARY:This workshop introduces the functionality of Stata with a focus on data analysis. We will discuss the basic interface and do-files as well as explore commands to import data\, create and modify variables\, summarize variables\, visualize data\, combine data sets\, and to run basic analyses. No experience with Stata is assumed.
DESCRIPTION:Introduction to Stata
URL:https://idre.ucla.edu/calendar-event/this-workshop-introduces-the-functionality-of-stata-with-a-focus-on-data-analysis-we-will-discuss-the-basic-interface-and-do-files-as-well-as-explore-commands-to-import-data-create-and-modify-variab
END:VEVENT
END:VCALENDAR