Speaker: Casey Youngflesh IDRE Scholar, Department of Ecology and Evolutionary Biology, University of California Los Angeles Time: 11:30 AM – 12:30 PM (PST) Date: Jan 28, 2022 Location: Zoom (RSVP here for the link) Abstract: Rapid abiotic environmental change is driving a multitude of shifts in natural systems across the Earth. One of...
MPI (Message Passing Interface) is a standardized interface for portable distributed-memory scientific parallel computing. The portability ensures that a properly-written, standard-conforming MPI program can work the same way on different platforms ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations, data analysis and visualization in the last two...
This workshop will introduce how to use Python/matplotlib and other packages to generate data visualization and animation for publications or presentations. We will discuss plotting functions and techniques available in both Matlab and Python to handle and customize your graphics in practice. The materials include simple 2D/3D plots to present scalers and vectors, filled plots...
Landsat imagery of the 2020 Bobcat wildfire generated using Python Register here Satellites are circling our planet, allowing us to "sense" things about the Earth. It is the art and science of making measurements using sensors. Remote sensing has thus become a valuable tool in research and applications in a wide range of disciplines, such...
Registration link: https://ucla.zoom.us/meeting/register/tJYqc-6rqz0qGdCvJuus9bUKV2xVtQHZQnHu The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 Cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port...
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will be an introduction on convolutional neural network. We will start our learning on how to use PyTorch to do image processing for classic Dogs-vs-Cats problem. The knowledge of topics covered in the previous sessions is...
MPI (Message Passing Interface) is a standardized interface for portable distributed-memory scientific parallel computing. The portability ensures that a properly-written, standard-conforming MPI program can work the same way on different platforms ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations, data analysis and visualization in the last two...
Registration: https://ucla.zoom.us/meeting/register/tJwpd-uoqDIvG91UKYByaA-7Xcbn4V38rA1k R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. ...
Registration link: https://ucla.zoom.us/meeting/register/tJIvd-igpjMiGNVkod90GFNhBTuT7pwRfj5- The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 Cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port...
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will be the second lecture on the introduction to convolutional neural network. We will continue our learning on how to apply data augmentation and transfer learning techniques to get a better solution for the classic Dogs-vs-Cats...
Registration: https://ucla.zoom.us/meeting/register/tJIpf--rrj4vE9DWH23IkyLvjjrk-md-hwYe This workshop covers Stata commands and methods for common data management tasks, such as identifying data errors, identifying duplicated data, specifying missing values, working with string variables, labeling variables, creating new variables, merging datasets, processing data by groups, and using loops for repetitive tasks. The workshop is focused on preparing data for statistical...
The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 Cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port your workflow to Hoffman2 and...
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will the introduction to Generative Adversarial Networks (GANs). We will illustrate the fundamental GAN techniques on how to use DCGANs to generate do images using PyTorch. The knowledge of topics covered in the previous sessions is...
Speaker: Bryor Snefjella, Ph.D. IDRE Scholar, Psychology Department, University of California Los Angeles Video Recording: https://youtu.be/RTpW1-FtBGs Abstract: Inquiry in the language sciences makes extensive use of open-source data sets. For example, data sets of hand-annotations of words for properties such as their connotation and familiarity. Other common types of open-source resources include...
Paraview is an open-source cross-platform program for interactive scientific visualization. Paraview can run as a stand-alone visualization tool, as well as in a client-server fashion for remote visualization. In this tutorial, we will explore the visualization pipeline and basic features in Paraview. We will show how to prepare data files from scratch. We will demonstrate...
Registration: https://ucla.zoom.us/meeting/register/tJUud-6uqTwiGtNZEtt6vy5VApsl6AE8BJVM In this workshop we discuss generalized linear models and why and when we need to use them. We will discuss several generalized linear modes such as logistic, Poisson, and negative binomial and how we run them in R. The seminar briefly reviews regression concepts as necessary, but it is assumed that participants have...
Registration: https://ucla.zoom.us/meeting/register/tJIlcuCpqzwoGt3dCRZ50lDgXWadWKeYfc2r This workshop will introduce the PROCESS Macro in SPSS (written by Andrew Hayes). Basic models will be demonstrated. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses.
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
IDRE ECR Group is excited to announce Open Science workshop with the following details: Title: Open Science Date and Time: Thursday, March 24, 2022 @10 AM (PST) Video recordings: Part-1. Part-2 Abstract: As the culture and context of academic research evolve with the times, there is a growing realization of the need and power in...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
The Hoffman2 Happy Hours Series: Using Rstudio on Hoffman2 is best with a Rstudio Server app. This Happy Hour shows an example of using a Rstudio Server with Singularity/Apptainor. Any questions about this workshop can be emailed to cpeterson@oarc.ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJwvcOytqjsiGdK5RudPYhsQTrmg4NP8HUqP
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
This workshop will go over how to use container on HPC resources. Containers are a great way to run scientific software on various HPC platforms. Users can create a ‘virtual’ OS to easily install any application and transfer it to any system with container software. This workshop will cover how to build and use containers...
Google cloud platform (GCP) is a cloud environment, developed by Google, where users can easily access a wide range of cloud computing services, such as running computational programs, application development or website-hosting. This two-part workshop is intended to help you understand what GCP is about, and how it may provide campus researchers an option to...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
Google cloud platform (GCP) is a cloud environment, developed by Google, where users can easily access a wide range of cloud computing services, such as running computational programs, application development or website-hosting. This two-part workshop is intended to help you understand what GCP is about, and how it may provide campus researchers an option to...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
IDRE ECR Group is excited to announce the following workshop on Hierarchical Bayesian modeling with applications for spatial environmental data science: Title: Hierarchical Bayesian modeling with applications for spatial environmental data science Date and Time: Friday, May 6, 2022, @9 AM (PST) Recording is available here: https://youtu.be/Ubsns37DD_U Abstract: Effectively addressing pressing environmental problems in the...
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns can be conveyed and understood. The first part of this series will showcase various ways that Python can be used for...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking...
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood. The second part of this series will explore various ways that Python can be used to...
NFTs seem to be everywhere now. NFT stands for non fungible tokens. The creation and exchange of NFTs has been revolutionary in many ways, particularly in terms of arts and services markets. For example, in the art market, NFTs use blockchain technology to allow for the secure transfer and proof that an original piece of...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and...
This workshop will provide a beginner’s introduction to computational text analysis using Python. It will cover the major approaches and opportunities for using computational methods to analyze text. We will use use Python and the NLTK and gensim libraries to explore features of text and perform basic topic modeling. No prior experience required. Activities will...
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative and...
Speaker: Judea Pearl Professor UCLA Computer Science Department University of California Los Angeles Date and Time:May 27, 2022 @12:00 PM (PST) Presentation slides: idre-may2022.pdf Video recording: https://youtu.be/MNyI1Xkapxg Abstract: The availability of massive amounts of data coupled with an impressive performance of machine learning algorithms has turned data science into one of the most...
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
This workshop will demonstrate how to include moderation terms (AKA interaction terms) in linear models, how to interpret the coefficients, and how to graph the interaction using the PROCESS macro in SPSS. Examples will include categorical by categorical, categorical by continuous, and continuous by continuous interactions. Any questions about this workshop can be emailed to...
June 16 – 19, 2022 Time: 9:00 am – 1:00 pm (PST) Please visit the Symposium Website for conference information. Opening Keynote Address: Dr. Aida Habtezion, Chief Medical Officer and Head of Worldwide Medical and Safety at Pfizer Closing Keynote Speaker: Ariam Weldeab, Author, Movie Producer and Director register here. or https://ucla.zoom.us/webinar/register/WN_3Xq_9Iz6StWR78RuHnC1NA Conference will be virtual via...
Anaconda (https://www.anaconda.com/) is a distribution of R and Python that can be used to easily install many popular data science, biostats, and other packages. This Hoffman2 Happy Hour will go discus using Anaconda on Hoffman2. This can be applied to using Anaconda on various other HPC resources. We will go over creating conda environments and...
This workshop is a follow-up to a previous workshop on “Using Containers on HPC Resources” (https://github.com/ucla/hpc_workshops). This workshop will focus on creating containers to be ran on HPC resources. We will go over building containers using Docker/podman and Apptainer/Singularity. We will also use Hoffman2 to run our newly built containers. To follow along, users will...
This Hoffman2 Happy Hour will discuss how to build and compile software on Hoffman2. This can also be applied to most HPC resources that researchers may use. While Hoffman2 system admins can compile software when needed, researchers can compile software themselves, so they have more control over how it is built. We will go over...
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning...
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will discuss some advanced topic on using scikit-learn python library to make high performance machine learning, specifically the speedup modeling using multicore and...