Events

Wednesday, August 22, 2018 - 10:00am to 1:00pm
at IDRE Portal (5628 Math Science Building)

Event: Build, Train, and Deploy ML Models at Scale with Amazon SageMaker

Date: August 22, 2018

Time: 10:00AM - 1:00PM

Food: Pizza will be served

Location: IDRE Portal

Description: Build, Train and Deploy ML Models at Scale with Amazon SageMaker

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 scale is a challenge. Participants will learn to use Amazon SageMaker, a new AWS service that simplifies the machine learning process and enables training on cloud stored datasets at any scale.

Applications will include:

  • satellite imagery, MXNet, LandSat dataset : automatically mapping buildings in Vietnam
  • chemistry, DeepChem: building an online compound solubility prediction workflow
  • genomics, 1000 genomes dataset

The tutorial will walk attendees through the process of building a model, training it, and applying it for prediction. Working in web-based Jupyter Notebooks powered by AWS, we'll explore common algorithms (e.g. k-means and PCA) and deep learning with MXNet and TensorFlow. Participants will become familiar with SDKs for Python and Spark and other APIs that make machine learning with AWS easy to use. With Amazon SageMaker, users take their code and analysis to the data, and participants will experiment on real-world datasets, such as Earth on AWS and the Cancer Genome Atlas. At the end of the session, attendees will have the resources and experience to start using Amazon SageMaker and other AWS services to accelerate their scientific research and time to discovery.


Intended audience

Machine Learning Practitioners old and new: developers, scientists, data science practitioners, research staff, and any other interested persons. Participants should have some familiarity with:

  • python
  • jupyter notebooks
  • basic machine learning methods

Monday, September 17, 2018 - 9:00am to Wednesday, September 19, 2018 - 5:00pm
at IDRE Portal (5628 Math Sciences Building)

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 non-standard data-structures. Non-standard data are indeed very common across multiple domains but rarely analyzed in a satisfactory manner.


Monday, September 17, 2018 - 9:00am to Wednesday, September 19, 2018 - 5:00pm
at IDRE Portal (5628 Math Sciences Building)

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 growth curve modeling
  • Testing for Mediation and Moderation
  • Multilevel and multiple group SEM
  • Using Phantom Constructs
  • Multiple group modeling

Thursday, September 20, 2018 - 8:00am to 1:30pm
at UCLA California NanoSystems Institute (CNSI)

The topic of this event is "Disruptive Transformation". Further details will be forthcoming.

This event is only available to members of UCLA IS Associates.

Learn more about IS Associates at isassociates.ucla.edu.


Tuesday, October 2, 2018 - 9:00am to 12:00pm
at CLICC Classroom C (third floor of the Powell Library building)

Event: Introduction to Stata
Date: October 2nd, 2018
Time: 9:00AM - 12:00PM
Location: CLICC Classroom C (third floor of the Powell Library building)
Notes for the workshop: https://stats.idre.ucla.edu/stata/seminars/notes15/ 

Description: 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 output.  The class notes are not meant to be a Stata textbook or a reference manual.   The notes for the workshop can be found at https://stats.idre.ucla.edu/stata/seminars/notes15/ 

Note:  All researchers are welcome to attend this workshop.  However, there will be NO online component.  Please sign up only if you can attend in person.


Tuesday, October 9, 2018 - 9:00am to 12:00pm
at CLICC Classroom C (third floor of the Powell Library building)

Event: Introduction to SAS
Date: October 9th, 2018
Time: 9:00AM - 12:00PM
Location: CLICC Classroom C (third floor of the Powell Library building)
Notes for the workshop: https://stats.idre.ucla.edu/sas/seminars/notes/

Description:  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.  The notes for the workshop can be found at https://stats.idre.ucla.edu/sas/seminars/notes/ .

Note:  All researchers are welcome to attend this workshop.  However, there will be NO online component.  Please sign up only if you can attend in person.


Tuesday, October 23, 2018 - 9:00am to 12:00pm
at CLICC Classroom C (third floor of the Powell Library building)

Event: Introduction to R
Date: October 23rd, 2018
Time: 9:00AM - 12:00PM
Location: CLICC Classroom C (third floor of the Powell Library building)
Notes for the workshop: https://stats.idre.ucla.edu/r/seminars/intro/

Description:  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 class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual.  The notes for the workshop can be found at https://stats.idre.ucla.edu/r/seminars/intro/ .

Note:  All researchers are welcome to attend this workshop.  However, there will be NO online component.  Please sign up only if you can attend in person.


Tuesday, October 30, 2018 - 9:00am to 12:00pm
at CLICC Classroom C (third floor of the Powell Library building)

Event: Introduction to SPSS
Date: October 30th, 2018
Time: 9:00AM - 12:00PM
Location: CLICC Classroom C (third floor of the Powell Library building)
Notes for the workshop: https://stats.idre.ucla.edu/spss/seminars/notes/

Description:  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 a reference manual.  The notes for the workshop can be found at https://stats.idre.ucla.edu/spss/seminars/notes/ .

Note:  All researchers are welcome to attend this workshop.  However, there will be NO online component.  Please sign up only if you can attend in person.