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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART;TZID=America/Detroit:20210706T100000
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CREATED:20210521T181521Z
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SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION: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 with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended. The workshop will be done online via Zoom. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-11/
LOCATION:Your Desktop
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20210715T150000
DTEND;TZID=America/Detroit:20210715T160000
DTSTAMP:20260606T145914
CREATED:20210615T153121Z
LAST-MODIFIED:20210615T153121Z
UID:10000491-1626361200-1626364800@micde.umich.edu
SUMMARY:Geostatistics – II
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we are covering the basics of Geostatistics. In this second workshop\, we will focus on covariance and variogram\, and their estimation in the context of geostatistical modeling. This is mainly a lecture style workshop\, but we will also execute some examples in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-ii-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210722T140000
DTEND;TZID=America/Detroit:20210722T153000
DTSTAMP:20260606T145914
CREATED:20210624T165605Z
LAST-MODIFIED:20230217T195712Z
UID:10000493-1626962400-1626967800@micde.umich.edu
SUMMARY:R Short Course: Getting Started (Part 1)
DESCRIPTION:This is part 1 of a 5-part series of workshops on programming in R.  This week\, we’ll discuss the following topics: creation and naming of objects\, R’s global environment\, arithmetic operations\, R’s package system\, and reading and writing data. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”.
URL:https://micde.umich.edu/event/r-short-course-getting-started-part-1/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210726T100000
DTEND;TZID=America/Detroit:20210726T120000
DTSTAMP:20260606T145914
CREATED:20210518T154620Z
LAST-MODIFIED:20210518T154620Z
UID:10000477-1627293600-1627300800@micde.umich.edu
SUMMARY:Android Application Development: An Overview
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google and Apple (the creators of Android and iOS\, respectively) confirmed a combined total of over 3 billion devices (including smartphones\, smartwatches\, and much more) around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a new avenue to collect data or engage with participants in a non-invasive manner. It might seem intimidating to write a mobile app for the first time\, but the process is similar to writing software for a desktop computer\, which in itself isn’t as hard as you might think! \nWe will present a brief overview on developing Android apps\, the differences between Android and iOS development\, and provide quick demonstrations on how you can use a variety of available programming environments and languages to create an app. A basic familiarity with computer programming is recommended to get the most out of the seminar. This is not a in-depth workshop with the intention to have its participants program code alongside the presentation\, but meant to introduce available options for you to consider and to answer questions on the topic. \nPlease register at least 24 hours in advance. Event may be canceled if pre-registration is low.
URL:https://micde.umich.edu/event/android-application-development-an-overview-4/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210727T150000
DTEND;TZID=America/Detroit:20210727T160000
DTSTAMP:20260606T145914
CREATED:20210713T154234Z
LAST-MODIFIED:20230217T195718Z
UID:10000498-1627398000-1627401600@micde.umich.edu
SUMMARY:Geostatistics – III
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we will cover the basics of Geostatistics. In this third workshop\, we will combine the material we covered in the first two workshops and develop the geostatistical modeling approach. This is mainly a lecture style workshop\, but will include an example in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-iii/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210728T120000
DTEND;TZID=America/Detroit:20210728T133000
DTSTAMP:20260606T145914
CREATED:20210720T122602Z
LAST-MODIFIED:20260401T195652Z
UID:10000499-1627473600-1627479000@micde.umich.edu
SUMMARY:XSEDE: Python Tools for Data Science
DESCRIPTION:OVERVIEW\nPython has become a very popular programming language and software ecosystem for work in Data Science\, integrating support for data access\, data processing\, modeling\, machine learning\, and visualization. In this webinar\, we will describe some of the key Python packages that have been developed to support that work\, and highlight some of their capabilities. This webinar will also serve as an introduction and overview of topics addressed in two Cornell Virtual Workshop tutorials.
URL:https://micde.umich.edu/event/xsede-python-tools-for-data-science/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210729T140000
DTEND;TZID=America/Detroit:20210729T153000
DTSTAMP:20260606T145914
CREATED:20210624T170550Z
LAST-MODIFIED:20230217T195712Z
UID:10000494-1627567200-1627572600@micde.umich.edu
SUMMARY:R Short Course: Vectors and Data Frames (Part 2)
DESCRIPTION:This is part 2 of a 5-part workshop series on programming in R.  This week\, we’ll discuss the following topics: vectors\, types\, lists\, and data frames. You’ll learn about indexing each of these objects and using `subset()`\, `aggregate()`\, and `merge()` for working with data frames. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”. 
URL:https://micde.umich.edu/event/r-short-course-vectors-and-data-frames-part-2/
LOCATION:Your Desktop
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