We will do a demo of Kepler workflow to contextualize the data used for rolling mill exit temperature prediction. This will be talk 2 of this series. We will be running the workflow in 3-way parallel mode.
We will present Data Contextualization using Python Pandas dataframe on August 14th 2018 @10:00 am in room 3909 MSA. We will also do some benchmark with Julia on the same problem. Please attend if your time permits. Thanks.
In this tutorial participants learn to solve Machine / Deep Learning problems using the tools available in the Amazon Web Services (AWS) cloud. The development and application of machine learning models is a vital part of scientific and technical computing. Increasing model training data size generally improves model prediction and performance, but deploying models at...
This is a weekly event, starting September 4th, Tuesday and ending October 2nd, Tuesday. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our knowledge to Machine learning. To guide us through the process we...
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (Sept 5-6, 2018, 8 AM-2 PM PDT each day). This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. For registration and detailed information,...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
A comprehensive 3-day Stats Camp seminar on Multilevel SEM with xxM. This seminar teaches skills necessary to conduct analysis of complex multilevel data-structures from an nLevel Structural Equation Modeling perspective. Conventional multilevel modeling and multilevel-structural equation modeling work well with ‘standard’ multilevel data. The n-Level structural equation modeling (NL-SEM) framework is intended for both conventional and...
A comprehensive 3-day Stats Camp seminar on Longitudinal SEM. This camp is an intensive seminar consisting of lectures, discussions and one-on-one consultations to provide participants with advanced training in SEM for the analysis of longitudinal data. Topics include: Design and measurement issues in cross-sectional and longitudinal research Traditional panel designs Overview of missing data Latent...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run...
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...
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
RSVP FOR THE EVENT It is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis, this course offers an introduction to Geographic Information Systems, GIS, as a means to spatialize and analyze your data. As a hands-on course, you will...
RSVP FOR EVENT This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another...
RSVP FOR EVENT 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...
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural...
RSVP FOR THE EVENT This entry-level workshop will introduce Python as a tool for digital researchers and scholars wanting to incorporate data on the web. The following Python libraries will be covered: requests, lxml, pandas, and numpy. Find other UCLA Library, Advanced Research Workshop Series
RSVP FOR THE EVENT 2-Day workshop, 9:00am - 5:00pm daily This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed. Learn how to perform text substitution in SAS code, automate and customize the production of...
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural...
RSVP FOR THE EVENT 2-Day Workshop, 9am - 5pm Daily This course teaches you how to process SAS data using Structured Query Language (SQL). Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views and indexes, replace multiple DATA and PROC steps with one...
RSVP FOR EVENT "Science Gateway" refers to a web or mobile-based applications with user-friendly interfaces enabling access to advanced technology resources to support scientific research and/or education. This 2-hour session aims to provide fundamental information about Science Gateway technologies. Three covered topics include: What Science Gateways really refer to and what Science Gateways can provide...
RSVP FOR EVENT Python, originally developed as a general-purpose programming language, has gained its popularity in the scientific community in recent years owing to its elegant and easy-to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will discuss a number useful features of Python in the context of...
RSVP FOR EVENT MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who...
RSVP FOR EVENT R is statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the...
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural...
RSVP FOR EVENT 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...
RSVP FOR EVENT 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...
RSVP FOR EVENT 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...
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th . Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden...
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce an OpenACC GPU Programming workshop on November 6, 2018, 8 AM-2 PM PDT. OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate...
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th. Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden...
Sign up now DESCRIPTION Do you want to do more to immediately help people affected by our recent natural disaster? Have you ever wanted to know more about GIS? Do you want to triumph over Trojans? If you answered yes to any of these, sign up for our humanitarian map-a-thon event! We will train you...
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (Dec 4-5, 2018, 8 AM-2 PM PDT each day). This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. For registration and detailed information,...
Learn how to program Microsoft Excel with Visual Basic for Application to process data , plot charts and interactive session for automatic data collection and processing. The Excel data will be coming from a time series historian. Visual Basic code will automatically process the data. It may be useful for you if you usually use...
REGISTER HERE Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply...
REGISTER HERE This hands-on workshop will introduce some commonly used statistical software packages, including R, SAS, SPSS, and Stata. Taught by Christine Wells (Institute for Digital Research and Education).
Agenda Day 1 - Jan 16, 2019, 9AM-4PM: Fundamentals of Accelerated Computing with OpenACC Learn the basics of OpenACC, a high-level programming language for programming on GPUs. This course is for anyone with some C/C++ experience who is interested in accelerating the performance of their applications beyond the limits of CPU-only programming. In this course,...
REGISTER HERE Overview of R functionality. Taught by Andy Lin (Institute for Digital Research and Education).
RSVP HERE It is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis, this course offers an introduction to Geographic Information Systems, GIS, as a means to spatialize and analyze your data. As a hands-on course, you will learn how...
This short course will cover the basics of the Globus file transfer platform. We will discuss installation and configuration on Windows, MacOS, and Linux. Of particular interest will be using Globus from the command line. We will cover the installation of the GlobusCLI, initiating and monitoring transfers and some basic troubleshooting. The goal will be...
REGISTER FOR EVENT In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. To understand the magnitude, direction, and significance of the interaction we need to decompose it into simple effects. Simple effects can be analyzed in three ways, by 1) testing each...
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...
REGISTER FOR EVENT Meta-analysis is the synthesis of results from previous studies. It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature. In this workshop, we will discuss how the data for a meta-analysis are collected and organized, as well as how...
This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of plotting tools and magics, followed by demonstrations of how to make interactive widgets for interactive visualizations and dashboards and how to generate analysis pipelines and reports. Basic familiarity...
An open forum for discussing, learning about and leveraging cloud resources for research at UCLA. This event is oriented primarily for faculty who already are or are considering using the cloud to support their research. Small projects or large, North or South campus, beginner or advanced users are welcome to ask questions and share experiences. The forum will begin with...
An open forum for discussing, learning about and leveraging cloud resources for research at UCLA. This event is oriented primarily for faculty who already are or are considering using the cloud to support their research. Small projects or large, North or South campus, beginner or advanced users are welcome to ask questions and share experiences. The forum will begin with...
An open forum for discussing, learning about and leveraging cloud resources for research at UCLA. This event is oriented primarily for faculty who already are or are considering using the cloud to support their research. Small projects or large, North or South campus, beginner or advanced users are welcome to ask questions and share experiences. The forum will begin with...
REGISTER FOR EVENT Regression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar...
The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run...