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

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

Zoom

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...
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Free

Numerical Computing using Julia

Zoom

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

Learning Scikit-Learn

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.

Parallel Computing using MPI and Julia

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.

Introduction to Photogrammetry and Mobile LiDAR Scanning

Zoom

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...
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Free

Multiple Imputation in R

Zoom

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...
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Free

Data Visualization with Python I: Plotting Fundamentals

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...
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Introduction to Spatial Statistics with Python

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...
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Data Visualization with Python II: Making Interactive Plots and Widgets

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...
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R Graphics: Introduction to ggplot2

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...
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Package Management in Julia

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.

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

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.

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

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...
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Introduction to Regression in R

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

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.

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

Zoom

** THIS WORKSHOP IS BEING RESCHEDULED TO MAY 17, 2021 ** The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part II 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...
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Confirmatory Factor Analysis (CFA) in R with lavaan

Zoom

Zoom registration required: https://ucla.zoom.us/meeting/register/tJwkcuiqrjovGdFdq0u6EebmpiiX_KW00ohH This workshop will cover basic concepts of confirmatory factor analysis by introducing the CFA model and looking at examples of a one-factor, two-factor and second-order CFA. Concepts such as model identification, standardized solutions, and model fit statistics such as the chi-square statistic, CFI, TLI and RMSEA will be covered. The focus...
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Data Visualization with Julia

Zoom

The Julia language has a unified interface to its plotting functionalities, supported by multiple backends such as plotly and pyplot (matplotlib). We will cover the fundamentals of Julia's plotting capability, and show the process of creating data visualization from select examples, including interactive and animated plots. Registration required.

Introduction to Virtual Machines and Containers

Zoom

A virtual machine is an isolated operating system environment running on top of the host computer’s original operating system. This hypervisor-based technology enables us to run one or multiple operating systems on the same host computer (e.g. a Linux virtual machine on top of a Windows host computer). However, a virtual machine can be resource-heavy...
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Running Applications on the Hoffman2 Cluster: Case Studies (Part III)

Zoom

** THIS WORKSHOP IS BEING RESCHEDULED TO MAY 24, 2021 ** The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part III 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...
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Applied Survey Data Analysis in Stata

Zoom

Zoom registration required:  https://ucla.zoom.us/meeting/register/tJUrcO2qpjopHdZ1iMHcg9ksIr0czZ3ixKiL This workshop will discuss the following topics: • how complex survey data are different from other types of data • how to do to basic descriptive statistics with continuous and categorical variables • how to make descriptive graphs with complex survey data • how to run a variety of regression models,...
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Learning Scikit-Learn: the basics

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 introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.

High Performance Machine Learning Using Scikit-Learn

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 discuss some advanced topic on using scikit-learn python library to make high performance machine learning, specifically the speedup modeling using multicore and accelerators and out-of-core learning. The session assumes the knowledge of topics covered in the first session. Working experience on Python programming, basic machine learning concepts and Scikit-learn will be helpful.

Introduction to Augmented Reality with Artivive

Zoom

Augmented reality (AR) is the layering of computer-generated perceptual information onto real environments. The experience requires a level of interactivity and sensory engagement. AR is being adopted across the fields of architecture and engineering, as well as adopted by artists to make creative connections between our shared reality and that of innumerable virtual worlds. This...
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Machine learning for Oceanic & Atmospheric Sciences

IDRE ECR Group is excited to announce Machine learning for oceanic & atmospheric sciences workshop with the following details: Title: Machine Learning for Oceanic & Atmospheric Sciences Date and Time: Friday, January 7, 2022 @10 AM (PST) Registration: https://ucla.zoom.us/meeting/register/tJclde2opjsiGdU0sq31tMP5YUXd8FbvCbCm Abstract: Machine learning (ML) denotes a host of computational methods for inferring meaningful patterns in data....
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Version Control with Git

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...
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Practical Parallel Computing 1: Running MPI Programs

Zoom

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...
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Make and Makefiles

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.

Tips to run Matlab on Hoffman2 cluster

Zoom

In this workshop we will focus on the methods to execute Matlab interactively and run its programs via job scheduler on Hoffman2 cluster. (We will not describe how to write Matlab scripts nor how to use its internal/external functions.) Several methods to launch Hoffman2 Matlab GUI from different operating systems will be discussed, including the...
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Practical Parallel Computing 2: MPI Programming

Zoom

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...
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Converting plots from Matlab to Python/matplotlib

Zoom

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...
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Introduction to Remote Sensing with Python

Zoom

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...
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Running Applications on the Hoffman2 Cluster, Part I

Zoom

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...
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Learning Convolutional Neural Networks (1)

Zoom

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...
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Practical Parallel Computing 3: Introduction to PETSc

Zoom

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...
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R Markdown Basics

Zoom

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.  ...
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Running Applications on the Hoffman2 Cluster, Part II

Zoom

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...
Read More

Learning Convolutional Neural Networks (2)

Zoom

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...
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Stata Data Management

Zoom

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...
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Learning Generative Adversarial Networks

Zoom

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...
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Scientific Visualization with Paraview

Zoom

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...
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Introduction to Generalized Linear Regression Models in R

Zoom

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...
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Introduction to Mediation Models with the PROCESS macro in SPSS

Zoom

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.  

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