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May 2021

High-Performance Data Science in Python (2) DataFrame Game

May 12, 2021 @ 10:00 am - 12:00 pm
Zoom

This workshop series will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. In the second session, we will focus on how to load/process the super big dataset in Python using a single machine and comparing the dataframe implementations from Pandas, Modin, Pandarallel, Dask and Vaex etc. Although no specific prerequisite is required to attend the talk, having programming experience in Python's numpy and Pandas packages will be helpful to fully understand the lecture content.

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Introduction to Regression in R

May 10, 2021 @ 1:00 pm - 4:00 pm
Zoom

Zoom registration required: https://ucla.zoom.us/meeting/register/tJAocumvrTkoHdVjqIGxWTdErUZLo_Z5hccE 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 begins with simple regression and generalizes the methods to multiple regression, followed by regression diagnostics. The seminar briefly reviews regression concepts as necessary,…

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Running Applications on the Hoffman2 Cluster: Intro (Part I)

May 10, 2021 @ 10:00 am - 12:00 pm
Zoom

** THIS WORKSHOP IS BEING RESCHEDULED TO MAY 10, 2021 ** The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part I 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 cluster and how to submit batch and run interactive applications. This introductory…

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High-Performance Data Science in Python (1) Interpreter War

May 5, 2021 @ 10:00 am - 12:00 pm
Zoom

This workshop series will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. In the first session, we will focus on how to boost the speed of python code in an interperter level by explaining the concepts (e.g. GIL, GIT) and introducing the packages of pypy, numba, pythran, cython etc. Although no specific prerequisite is required to attend the talk, having programming experience in Python will be helpful to fully understand the lecture content.

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Package Management in Julia

May 3, 2021 @ 2:00 pm - 4:00 pm
Zoom

The Julia language has a rich and fast-growing ecosystem in the form of open-source packages. We will cover the fundamentals of Julia's package management system, using either via the REPL (interactive command prompt) or the Pkg package, and show how to manage multiple sets of packages in the user environment. We will also discuss how to organize your Julia code into a package and share with others. Registration required.

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R Graphics: Introduction to ggplot2

May 3, 2021 @ 1:00 pm - 4:00 pm
Zoom

Zoom registration required: https://ucla.zoom.us/meeting/register/tJAucO-orzkvHtGtJFXfN76vvx75TY-1QxIG 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 beautiful graphics. The seminar is meant to be interactive with attendees participating in the coding, so some very basic R coding…

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April 2021

Data Visualization with Python II: Making Interactive Plots and Widgets

April 23, 2021 @ 9:00 am - 11:00 am
Zoom

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 make interactive graphics for exploring data and conceptualizing trends and dependencies.  We'll dive into Python libraries for making interactive widgets, plots, and dashboards (ipywidgets, bqplot, voila,…

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Introduction to Spatial Statistics with Python

April 21, 2021 @ 9:00 am - 11:00 am
Zoom

Registration link: https://ucla.zoom.us/meeting/register/tJwkdu6hqj4sG9ZioB0tM8VuXxA44AWGc6W- Visual interpretations are meaningful ways to determine spatial trends in our data. However, underlying factors—such as inconsistent geographies, scale, data gaps, overlapping data—have the potential to produce incorrect assumptions, as valuable information may be conveniently hidden from the visual output. One way to address this issue is to amend your visual output with geo-statistical validation. In this workshop, we will use Python to look at one such approach: Spatial Autocorrelation. Spatial autocorrelation addresses the so-called "First Law…

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Data Visualization with Python I: Plotting Fundamentals

April 16, 2021 @ 9:00 am - 11:00 am
Zoom

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 first part of this series will showcase various ways that Python can be used for creating graphics, following which we'll dive into some common Python libraries for data viz:  Matplotlib, Pandas, and Seaborn.  We will go through several interactive exercises…

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March 2021

Multiple Imputation in R

March 8, 2021 @ 1:00 pm - 4:00 pm
Zoom
Free

Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop.   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 using the package mice in R. We will also briefly…

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Introduction to Photogrammetry and Mobile LiDAR Scanning

March 2, 2021 @ 2:00 pm - 4:00 pm
Zoom
Free

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 a number of ways. Two common surveying methods that result in 3D models are photogrammetry and light detection and ranging or lidar for short. A form of photogrammetry has been around since the beginnings of photography in the mid-19th century. The term usually refers to the method by which 2D…

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Parallel Computing using MPI and Julia

March 1, 2021 @ 2:00 pm - 4:00 pm
Zoom

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.

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February 2021

Learning Scikit-Learn

February 25, 2021 @ 10:00 am - 12:00 pm
Zoom

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.

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Numerical Computing using Julia

February 22, 2021 @ 2:00 pm - 4:00 pm
Zoom

This workshop will illustrate using the Julia language in data-driven modeling and computations. More detailed description will be posted here soon.

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Retiring Statistical Significance: Interpreting and Reporting P – Values and Confidence Intervals Without Significance Testing

February 8, 2021 @ 1:00 pm - 4:00 pm
Zoom
Free

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 testing (NHST) and p-value thresholds, together with selective reporting of statistically significant results, have produced an inundation of overstated conclusions and unreplicable results in scientific research.  Many of these abuses come from misunderstandings of how to interpret p-values, confidence intervals, the words “statistical significance”, and the uncertainty in a statistical…

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Running Applications on the Hoffman2 Cluster: Case Studies (Part III)

February 8, 2021 @ 10:00 am - 12:00 pm
Zoom

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 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…

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Using Anaconda to manage packages on Hoffman2 Cluster

February 4, 2021 @ 10:00 am - 12:00 pm
Zoom

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 its 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. One can take advantage of the system-wide Anaconda base to install one’s own packages or to build…

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R Markdown Basics

February 1, 2021 @ 1:00 pm - 4:00 pm
Zoom
Free

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, 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.   This seminar covers…

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Running Applications on the Hoffman2 Cluster: Case Studies (Part II)

February 1, 2021 @ 10:00 am - 12:00 pm
Zoom

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 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 I addresses specific workflow…

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January 2021

Census Data Analysis and Mapping with Python

January 29, 2021 @ 9:00 am - 11:00 am
Zoom
Free

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 be provided with a Jupyter Notebook workspace to import census data, explore, clean, and prepare the data for analysis using python. You will also learn how to create compelling choropleth maps with selected variables that can be used for publications. If you have any further questions regarding the workshop, please…

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Introduction to GIS for the Social Sciences with QGIS

January 27, 2021 @ 2:00 pm - 3:00 pm
Zoom
Free

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 have any further questions regarding the workshop, please contact the instructor Albert Kochaphum.

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Zoomed Out? Creating Alternative VR Environments with Mozilla Hubs

January 26, 2021 @ 2:00 pm - 4:00 pm
Zoom
Free

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 are many ways that we can share virtual space. Mozilla Hubs is a Web-based platform that provides users with three dimensional virtual space that can allow for links, videos, 2D and 3D objects, and live interaction. As an alternative to zoom, Mozilla Hubs has been used for poster sessions, conferences,…

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Running Applications on the Hoffman2 Cluster: Introduction (Part I)

January 25, 2021 @ 10:00 am - 12:00 pm
Zoom

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 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…

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Numerical Computing with Python: Numerical Modeling

January 22, 2021 @ 9:00 am - 10:30 am
Zoom

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 modules such as NumPy, SciPy, Matplotlib, and Pandas, it can be a very powerful tool for numerical computing. The third part of this hands-on series will be an overview of using Python for numerical programming.  We will focus on a few illustrative numerical problems based on curve fitting, finding solutions…

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Numerical Computing with Python: Intro to Numpy, Scipy, and Pandas

January 15, 2021 @ 9:00 am - 10:30 am
Zoom

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 modules such as NumPy, SciPy, Matplotlib, and Pandas, it can be a very powerful tool for numerical computing. The second part of this hands-on series will introduce you to the modules that enable Python to function as a powerful numerical programming language:  NumPy, SciPy, and Pandas.  By the end, you…

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Numerical Computing with Python: Python Basics

January 8, 2021 @ 9:00 am - 10:30 am
Zoom

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 modules such as NumPy, SciPy, Matplotlib, and Pandas, it can be a very powerful tool for numerical computing. The first part of this hands-on series will introduce you to the basic concepts and features of Python.  By the end, you should be able to read and write basic Python modules…

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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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