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October 2019
PowerShell Scripting on Windows 10
Learning PowerShell scripting is essential if you want to create virtual images or Docker containers on a Windows environment. In this demo you will be introduced to PowerShell scripting so that you can execute command line instructions similar to a bash environment in Linux. Learn more about PowerShell. If you have questions regarding the workshop, please contact Prakashan Korambath.
Find out more »Version Control with Git
Git is a software tool that helps users manage changes to their software over time. Git will allow you to maintain a complete change history of every file, create branches for concurrent streams of changes, trace changes with annotations, and collaborate and share work with others. This interactive introduction will demonstrate how to use Git to track changes, to explore history, and to use web-based Git repositories to share work with others and collaborate. If you have questions regarding the…
Find out more »Introduction to SAS
SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The SAS class notes do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. However, it is possible for individuals to…
Find out more »Introduction to Stata
Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics, graphics and data management. The class notes are the scripts for the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the…
Find out more »Intro to GIS: Getting started with spatial research
As members of an academic community with a myriad of research initiatives, the need to map information, to spatially analyze, to geoprocess, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this question largely depends on what you want to map, and how you want to create your map. The what is usually easy. It is driven by your passion to pursue a research question and to have maps assist in the development of an argument. The how…
Find out more »Introduction to SPSS
SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or…
Find out more »Learning Machine Learning with Kaggle Challenges: Introduction
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions…
Find out more »Introduction to Jupyter
The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide an interactive demonstration…
Find out more »Learning Machine Learning with Kaggle Challenges: Solving Titanic Problem
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions…
Find out more »November 2019
Addressing the Vaccine Crisis: The Digital World, Big Data, and Public Health
Venue: James Bridges Theater, UCLA Melnitz Hall, 235 Charles E Young Dr., Los Angeles, CA - 90095 Register: RSVP link Questions: Contact T.V. Singh Organizers: Vwani Roychowdhury Timothy R. Tangherlini Beth Glenn Catherine Crespi Roshan Bastani Addressing the Vaccine Crisis: The Digital World, Big Data, and Public Health The World Health Organization has identified vaccine hesitancy as one of the top threats to global health. This one-day symposium, hosted by UCLA faculty from Engineering, Humanities and Public Health, comes…
Find out more »Introduction to GIS and Python
An introduction to using GeoSpatial tools with Python. If you have questions regarding the workshop, please contact Albert Kochpahum.
Find out more »Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions…
Find out more »Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem with Better Solutions
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions…
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