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2 events,
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Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification […]
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This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […] |
2 events,
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OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […]
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Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson, an expert from the Scientific Computing and Imaging Institute (Utah), will teach this workshop. If you're unfamiliar with VisIt, check out how it can help you visualize your data here. […] |
2 events,
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This workshop will provide a fast paced introduction to georeferenced vector data analysis. We will explore the power and functionalities of QGIS and R for reading, manipulating, and analyzing vector GIS data. Participants will also learn to generate production quality maps. Some exposure to R will he helpful but is not required.
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OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, […] |
1 event,
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This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […] |
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1 event,
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This workshop will introduce the Julia programming language, with a focus on using Julia for data analysis. No prior exposure to Julia is needed. We will discuss some aspects of the core language, cover some basic techniques for data manipulation, and fit a model using linear regression. |
1 event,
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Audience: Never before SPSS users who will be using SPSS for Windows. Those using SPSS for Unix or Macintosh should email the instructor at [email protected] before enrolling. Fundamentals This portion introduces SPSS for Windows, the menu and the help systems, the three main types of files used, and printing from within SPSS. It then addresses defining variables, attaching labels, defining […] |
0 events,
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1 event,
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This workshop will delve into common data processing and exploration techniques using R. The main focus will be on constructing and manipulating R data objects, and using packages that enhance and facilitate operations that typically arise when dealing with data, including faster I/O, variable creation and manipulation, and grouped operations, especially as a prelude to […] |
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1 event,
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This workshop will cover regression analysis using linear models and least squares in Python. We will discuss the goals and main use-cases for linear regression, and how to interpret a fitted linear model. We will then discuss methods for fitting more complex models with larger data sets, including the use of interactions, dummy-coding of categorical […] |
0 events,
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1 event,
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OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […] |
2 events,
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OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, […]
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In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Analyzing RECS using tidyverse” workshop will focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/). We’ll use the tidyverse (tidyverse.org) throughout, relying on […] |
1 event,
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Ever want to know how to communicate with a database? You need to know SQL, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will […] |
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