The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and...
We are increasingly sharing our data and research in virtual environments. WebVR (or WebXR as it’s now known) is an open standard that allows 3D / virtual reality (VR) experiences...
Description coming soon. If you have any further questions regarding the workshop, please contact instructor Raffaella D'Auria.
On macOS, Linux, or Windows with Cygwin, or other POSIX-compliant environments, a number of versatile, time-tested command-line open-source tools with text-based user interface (TUI) are available to support performing common...
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...
The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate,...
The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate,...
The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is designed to: 1) introduce users to the Hoffman2 Cluster environment and clarify the process...
Anaconda is a popular, free, and open-source distribution of Python and R packages for scientific computing and data analysis. Many users prefer using Anaconda on the personal computer instead of...
Learn how to break the rules of mapmaking! This workshop’s main lecture introduces disruptive mapping practices from critical cartography and indigenous critical theory and applies them to crafting a story...
As Jupyter Notebook is becoming more and more popular for data scientists, researchers and software engineers, many people may have already heard about Google Colab. As one of the most...
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the first session of the series, we will give a broad introduction about deep learning and neural network. No specific prerequisite is required.
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...
Please RVSP here. Workshop will be conducted in Zoom. Invites are sent out the day before the workshop. SAS is a powerful statistical package that runs on many platforms, including...
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the second session of the series, we will look into the procedures of working on a general deep learning project, especially on how to train a deep neural network...
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. There are many ways to communicate the results of...
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the third session of the series, we will introduce PyTorch deep learning framework, illustrate the basic usage of tensors and automatic differentiation, and solve a simple temperature-conversion problem using PyTorch...
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...
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. SPSS is a very easy-to-use statistical package that runs...
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fourth session of the series, we will introduce convolutional neural network and learn how to use PyTorch to do image processing for classic Dogs-vs-Cats problem...
REGISTRATION IS NOW OPEN, RSVP HERE! Wednesday October 28th, 10am (PDT): Welcome message and humanitarian map training Thursday October 29th: Continue mapping and a day of workshops9am Open Street Map...
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. This workshop is part one of a four-part workshop...
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fifth session of the series, we will introduce data augmentation and transfer learning techniques to get a better solution for deep learning projects with PyTorch...
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. R is a powerful statistical package that runs on...
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the sixth session of the series, we will introduce Generative Adversarial Networks (GANs) and illustrate the fundamental GAN techniques on how to use DCGANs to generate dog images with PyTorch...
We will explore the features of the Julia programming language in the context of research computing, and compare it with other scripting languages such as Python and MATLAB. We will also discuss Julia language's ecosystem, including its standard library, documentation system, unit test, package management and more, from the standpoints of reproducible computational science and modern software engineering.
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. Stata is a powerful and yet easy-to-use statistical package...
This class will demonstrate how to use MATLAB to create data visualization and animation for publications or presentations. We will discuss many plotting functions and techniques available in MATLAB and learn how to use these commands to handle and customize your graphics in practice. The materials include simple 2D/3D plots to present scalers and vectors, filled plots to handle continuously spatial data, geographic plots to deal with geographic information, animation to show variation in temporal data. Matplotlib used in Python will be also introduced so one can easily apply these plotting techniques in Python.
We will discuss using Markdown (a light-weight markup language with plain-text formatting syntax) for technical writing, including the support of LaTeX-style mathematics typesetting and bibliography. The approach can be applied to writing dissertation, research manuscripts, presentation slides, and web pages from the same set of source files. A number of documentation-building tools around the Markdown format will be introduced. We will also discuss using GitHub and Travis CI for version control and automatic building of documents and web pages.
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...
Register now for the first UC GIS Week conference from Nov. 17th - 19th! The UC GIS Week committee is proud to announce the first UC-wide GIS Week. Join us...
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...
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. The digital realm is becoming an increasingly popular space...
Description coming soon. Register in advance: Please REGISTER using the Zoom Meeting Link before joining! If you have any questions regarding this event, please contact Ben Winjum.
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its...
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its...
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its...
To register please follow the Zoom link: https://ucla.zoom.us/meeting/register/tJcvcemurj0oHNwvsIvaqVDp2Uyqntnv2kpq The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed...
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. While we are working remotely, there...
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. Description Coming Soon If you...
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. In this hands on workshop, you will...
To register please follow the Zoom link: https://ucla.zoom.us/meeting/register/tJYvdemopjkrGNJmY3LY6Ktr-mTUl6T8D8XS The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed...
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. R Markdown files integrate text, Markdown,...
Anaconda is a popular, free and open-source distribution of many packages for scientific computing and data analysis. It is easy to use Anaconda to install and manage packages because of...
To register please follow the Zoom link: https://ucla.zoom.us/meeting/register/tJYvd-CqrjorHtKARZmYRFDkp7TjcDS_gV_r The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed...
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. The misuse of null hypothesis significance...
This workshop will illustrate using the Julia language in data-driven modeling and computations. More detailed description will be posted here soon.
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 in-depth introduction to scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.
This workshop will discuss the basics of MPI (message passing interface), and several distributed-memory parallel numerical computing examples using MPI. The Julia language will be used in the examples. It would be straightforward to translate the Julia examples into other languages, such as C and Fortran, if desired.
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. 3D models can be formed in...