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November 2020

Make and Makefiles

November 24, 2020 @ 9:00 am - 11:00 am
Zoom

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.

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Beginning Programming for Creatives

November 17, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

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 for creatives. By creatives, I don't just mean artists, but anyone who wants to harness their creativity, skill, and imagination to produce something with a personal touch and flair. From interactivity to detailed design, browser windows can connect with viewers in powerful ways. So how do you start making the…

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Jupyter Advanced Topics

November 17, 2020 @ 9:00 am - 11:00 am
Zoom

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 with Python will be assumed. Register in advance:  Please REGISTER using the Zoom Meeting Link before joining! If you have any questions regarding this event, please…

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UC GIS Week

November 17, 2020 - November 19, 2020
Zoom

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 for a 3-day virtual conference which celebrates the GIS work of the University of California faculty, staff, students, and alumni. The University of California system is holding an inaugural UC GIS Week on November 17th – 19th, 2020 through Zoom. We will celebrate all things mapping and geospatial. In light…

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Running Applications on the Hoffman2 Cluster: Case Studies II

November 16, 2020 @ 10:00 am - 12:00 pm
Zoom

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 the Hoffman2 and how to submit batch and run interactive applications. Case Studies II continue to address specific how to submit specific workflow classes such…

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Markdown for Technical Writing

November 12, 2020 @ 10:00 am - 12:00 pm
Zoom

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.

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Advanced Graphics with Matlab

November 10, 2020 @ 10:00 am
Zoom

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.

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Introduction to Stata

November 9, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

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 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…

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Julia Language for Advanced Computations: Perspectives and Outlook

November 5, 2020 @ 10:00 am
Zoom

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.

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Learning Deep Learning with PyTorch (6) Generative Adversarial Networks

November 3, 2020 @ 10:00 am
Zoom

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...

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Introduction to R

November 2, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

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 many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class notes do not contain any of the computer output.…

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October 2020

Learning Deep Learning with PyTorch (5) Improving CNNs Performance

October 29, 2020 @ 10:00 am
Zoom

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...

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Introduction to GIS with Open Street Map and Python

October 29, 2020 @ 9:00 am - 11:00 am
Zoom
Free

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 series in the 4th Annual UCLA/USC Humanitarian Mapathon. You will learn how to use Python within Jupyter Notebooks to find Open Street Map data for an area of interest. Data you will interact with are street networks (nodes and edges), building footprints, and points of interest.   If you have…

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4th Annual Humanitarian Mapathon with USC and UCLA

October 28, 2020 - October 30, 2020
Zoom
4th Annual Mapathon Logo

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 with Python 11am Open Data and Tableau 1pm GIS with R 3pm Introduction to QGIS Friday October 30th, 10am (PDT): Wrap-up and closing Keynote with Ben Welsh from the Los Angeles Times Ben Welsh (LA Times Data Journalist) Location: Zoom Go to website for more details Once again, UCLA and…

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Learning Deep Learning with PyTorch (4) Convolutional Neural Networks

October 27, 2020 @ 10:00 am
Zoom

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...

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Introduction to SPSS

October 26, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

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 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…

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Learning Deep Learning with PyTorch (3) Knowing PyTorch

October 22, 2020 @ 10:00 am
Zoom

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...

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Introduction to Data Visualization

October 20, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

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 research. Visually representing data provides a valuable perspective within an academic argument. Data visualizations provide an overview or snapshot of a dataset, draw attention to outliers, demonstrate trends, or simply help us to understand our data better. Functioning as evidentiary support, data visualizations can sharpen key research findings. They can…

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Learning Deep Learning with PyTorch (2) Mechanics of Learning

October 20, 2020 @ 10:00 am
Zoom

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...

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Introduction to SAS

October 19, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

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 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…

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Running Applications on the Hoffman2 Cluster: Introduction

October 19, 2020 @ 10:00 am - 12:00 pm
Zoom

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 the Hoffman2 and how to submit batch and run interactive applications. This introductory workshop addresses the specifics of the Hoffman2 cluster set-up, it provides a…

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Learning Deep Learning with PyTorch (1) Introduction

October 15, 2020 @ 10:00 am
Zoom

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.

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August 2020

An In-Depth Introduction to Google Colab — Discovering how to use free CPU/GPU for coding and teaching

August 27, 2020 @ 10:00 am - 11:30 am
Zoom

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 famous cloud services for machine learning, Colab features FREE access to GPU and TPU computing. But do you know you can use Colab for various scripting languages beyond Python (like R, Julia or Javascript)? Do you realize that Colab can actually provide a democratized and parallel-programming environment of teaching for…

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Rebel Mapping: Critical Cartography

August 25, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

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 on Esri StoryMaps platform. The technical tools include learning how to set up an Esri Public Account, incorporating media and external digital content, and highlighting the various building blocks within Esri StoryMaps. Participants are encouraged to walk away contemplating their role as a data analyst and question power relationships with…

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Managing Python and R Packages Using Conda on Hoffman2 Cluster

August 20, 2020 @ 10:00 am - 12:00 pm
Zoom

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 manually installing individual packages not only for convenience but also for taking advantage of Anaconda's ability to resolve version conflicts and package dependencies. On the Hoffman2 cluster, however, the environment is structurally different from that of a personal computer; there are other best practices to be considered. For example, while…

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Running Applications on the Hoffman2 Cluster – Case Studies

August 19, 2020 @ 12:00 pm - 2:00 pm
Zoom
Free

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 of porting applications or using applications already available on the cluster; 2) demonstrate how to submit batch jobs, run interactive applications and monitor resource utilization; 3) showcase specific workflow classes (e.g., multicore, parallel and job array submissions); 4) illustrate the process of creating MATLAB standalone executables and running MATLAB in…

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Introduction to Data Science with Python Part 2

August 19, 2020 @ 9:00 am - 11:00 am
Zoom
Free

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, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part workshop series, we introduce data science approaches that are fundamental regardless of your discipline. Part 1 will focus on how to get, clean, structure, and…

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Introduction to Data Science with Python Part 1

August 18, 2020 @ 9:00 am - 11:00 am
Zoom
Free

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, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part workshop series, we introduce data science approaches that are fundamental regardless of your discipline. Part 1 will focus on how to get, clean, structure, and…

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Introduction to Survey Data Analysis in R

August 17, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

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 and logistic regression will be considered. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop. The notes for the workshop are will be posted soon. If you have any further questions regarding the workshop, please…

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Essential Command Line Tools in HPC Environments

August 13, 2020 @ 10:00 am - 12:00 pm
Zoom

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 tasks that arise in advanced computation or data analysis. Unlike their graphical user interface (GUI) counterparts, which appear to be prevalent in today's computing environments, these command-line tools can achieve (almost) infinite flexibility, efficiency, and reproducibility if used properly. For example, when connecting with a remote server (e.g. a computing…

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Running Applications on the Hoffman2 Cluster – Intro

August 12, 2020 @ 12:00 pm - 2:00 pm
Zoom
Free

Description coming soon.   If you have any further questions regarding the workshop, please contact instructor Raffaella D'Auria.

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Introduction to Three Dimensional Graphing and WebVR

August 11, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

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 to be produced through your browser. It also aims to make your immersive data platform-agnostic, so it will be portable to whatever device you have. In this workshop, you will be introduced to ways to graph three dimensional data. You will also be shown how to bring that 3D graph…

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Deep Learning in Medicine

August 6, 2020 @ 10:00 am - 12:00 pm
Zoom

Recent years have witnessed a dramatic resurgence of interest in applying deep learning in various research and application areas. In this 2 hour session, we will present a broad and high-level overview on what deep-learning technologies can do for the domains of medicine and healthcare. Our discussion will focus on the three major application fields: medical imaging analysis, natural language processing and deep reinforcement learning. In each field, some of the landscape will be sketched by taking a brief literature…

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Introduction to GIS for the Social Sciences

August 4, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

QGIS workshop for processing and visualizing demographic census data, commonly used in the social sciences.   If you have any further questions regarding the workshop, please contact instructor Albert Kochaphum.

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Multiple Imputation in Stata

August 3, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation and how to perform it in Stata. The Stata code for this seminar is developed using Stata 15. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day…

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July 2020

Introduction to SQL

July 28, 2020 @ 9:00 am - 12:00 pm
Zoom

SQL is a standard language designed to query and extract data from tables stored in a database.  In this short class, you will learn how to store, query, and manipulate data with SQL, and you will gain exposure to the fundamentals of SQL and relational database management systems. Register in advance:  Please REGISTER using the Zoom Meeting Link before joining! If you have questions regarding the workshop, please contact Ben Winjum.  

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Introduction to GIS/Spatial Research with Python

July 21, 2020 @ 9:00 am - 11:00 am
Zoom

Register in advance: Please REGISTER using the Zoom Meeting Link before joining!   There are no pre-requisites to take this workshops, but it is recommended that you take the following two workshops: Introduction to Jupyter Version control with git 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…

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Version Control with Git

July 14, 2020 @ 9:00 am - 12:00 pm
Zoom

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. Register in advance:  Please REGISTER using the…

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Introduction to Jupyter

July 7, 2020 @ 9:00 am - 11:00 am
Zoom

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 is a popular tool 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 showing…

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June 2020

Epidemic Model Guided Machine Learning for COVID-19 Forecasts

June 5, 2020 @ 12:00 pm - 1:00 pm
Zoom

Time:  12:00 PM – 1:00 PM Date: June 05, 2020 Location:  Zoom (you will receive an email after your rsvp) RSVP HERE Link to the presentation's recording and slides Abstract: The novel coronavirus (COVID-19), which causes an acute respiratory disease in humans, has emerged as a global pandemic, and caused an over 250,000 death toll in the world. Our lab recently launched a project (https://covid19.uclaml.org) to use machine learning to better understand the spread of COVID-19 and further facilitate the…

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May 2020

Running Applications on the Hoffman2 Cluster: Part II

May 27, 2020 @ 10:00 am - 12:00 pm
Zoom
Free

This class will address the process of creating MATLab standalone executables and running MATLab in batch, as well as running Abaqus python scripts. It will give examples 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 way to run python and R on Hoffman2. Information for the Zoom meeting will be emailed the day before the workshop.  If you have questions…

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Talk: “Power and Sample Size” with Stata Corp’s Chuck Huber

May 26, 2020 @ 9:00 am - 12:00 pm
Zoom
Free

In this talk, I introduce the concepts and jargon of power and sample size calculations such as alpha levels, power, and minimum detectable effect sizes.  I do several simple calculations manually and then demonstrate how to replicate these calculations using Stata's -power- commands.  Next, I demonstrate how to create tables and graphs for power, sample size, and minimum detectable effect sizes for a range of values. We will conclude with a discussion of strategies to increase statistical power. The second…

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Using SQL with Python for Data Analysis

May 22, 2020 @ 10:00 am - 12:00 pm
Zoom

SQL is a standard language designed to query and extract data from tables stored in a database.  Python, on the other hand, has well-known libraries specially designed for data analysis and manipulation.  This course will introduce attendees to the basics of SQL, relational database management systems, and options for integrating these with Python for data analysis.  No prior experience with SQL will be assumed;  prior experience with Python will be useful. Please REGISTER using Zoom Meeting Link before joining! If you have…

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Running Applications on the Hoffman2 Cluster: Part I

May 20, 2020 @ 10:00 am - 12:00 pm
Zoom
Free

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of getting started on the cluster, navigating the command line and porting your own applications or using applications already available on the cluster. It also addresses how to import your workflow to Hoffman2 and how to submit batch and run interactive applications. Information for the Zoom meeting will be emailed the day before the workshop.  If you have questions…

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A Practical Introduction to Factor Analysis in SPSS

May 18, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

This workshop will give a practical overview of exploratory (EFA) in SPSS. Topics to be covered include factor extraction, principal components analysis, estimation methods, factor rotation, refining the factor structure, and generating factor scores for subsequent analyses. The notes for the workshop are here.  This workshop will not be hands-on. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop.

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Exploring Data and Machine Learning with Interactive Python Tools

May 15, 2020 @ 10:00 am - 12:00 pm
Zoom

This course will teach attendees how to build interactive widgets and visualizations for exploring equations, datasets, and machine learning models. This course will touch on several machine learning tools in Python, but the primary goal will be to give attendees a foundation in tools that can be useful in exploring datasets and conceptualizing models. Basic familiarity with Python will be useful. Please REGISTER using Zoom Meeting Link before joining! If you have questions regarding the workshop, please contact the instructor Ben Winjum.

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Rebel Story Mapping: Critical Perspectives on Data Visualizations

May 13, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

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 a Critical COVID-19 Story map built on Esri StoryMaps platform. The technical portion focuses on learning how to set up an Esri Public Account, incorporating media and external digital content, and highlighting the various building blocks within Esri StoryMaps. Participants are encouraged to walk away contemplating their role as a data analyst and…

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Data Processing and Visualization using MATLAB

May 12, 2020 @ 10:00 am - 12:00 pm
Zoom

MATLAB, developed by MathWorks, has been used in research and the industry for computations, simulations, data analysis and visualization across multiple disciplines such as physical sciences, engineering, economics, and biomedical fields. This class will discuss and demonstrate how to import data, perform data analysis, trend analysis, and various data/file exchange formats using the MATLAB desktop command and graphical interface. It will also demonstrate visualization techniques to present the results in appropriate forms, such as 2D or 3D graphs and animation.…

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R Data Management

May 11, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

This workshop introduces R packages and functions that help users import, transform and manage their data in preparation for analysis.   The seminar focuses on the “tidy data” philosophy encouraged y the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed.  Topics include data import, transforming variables, string functions, missing data, merging datasets, reshaping data, grouped data processing, and looping. The notes for the workshop are here.  This workshop will not be hands-on. Attendance is…

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Learning Deep Learning with PyTorch (6) Recurrent Neural Networks and LSTM

May 7, 2020 @ 10:00 am - 11:30 am
Zoom

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 recurrent neural networks (RNNs) and illustrate how…

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