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March 2018

 Deep Neural Networks with TensorFlow: A Quick Start Introduction

March 20 @ 2:00 pm - 4:00 pm
Presenters: Gregory Teichert, CSCAR

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop,…

Computation: A Pillar of Science and a Lens to the Future — the 2018 MICDE Symposium

March 22 @ 8:00 am - 5:00 pm
Location: Rackham Amphitheatre, 915 E. Washington St.
Ann Arbor, MI 48109 United States

The Michigan Institute for Computational Discovery and Engineering 2018 Symposium will feature eminent scientists from around the world and the U-M campus. The symposium this year will show how computational science…

Intro to GPU & CUDA Programming

March 23 @ 2:30 pm - 5:00 pm
Location: 1180 Duderstadt Center, 2281 Bonisteel Blvd
Ann Arbor, MI 48109 United States
Presenters: Malcolm Miranda, College of Engineering Flux Support

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual…

Parallel Processing with Python

March 30 @ 2:00 pm - 4:30 pm
Presenters: Alex Cao, CSCAR

Modern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how…

April 2018

Open Source GIS Tools

April 10 @ 2:30 pm - 4:30 pm
Presenters: Manish Verma, CSCAR

This workshop will provide a fast paced introduction to open source GIS tools, especially QGIS (but also R). We will explore QGIS’s power and functionalities for manipulating and analyzing vector…

May 2018

Geospatial analysis with Google Earth Engine

May 24 @ 2:00 pm - 5:00 pm

Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data…

June 2018

Introduction to Deep Neural Networks with Keras/Tensorflow

June 11 @ 10:00 am - 12:00 pm

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,…

Classification, Regression and Model Selection using Python’s Scikit-learn

June 15 @ 2:00 pm - 4:45 pm

This workshop will introduce participants to machine learning in Python. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the…

Web Scraping with Python

June 19 @ 9:30 am - 12:00 pm

This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the Python requests, beautifulsoup, retry…

Spatial point process models

June 22 @ 1:00 pm - 4:30 pm

This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern, (ii) discrete spatial variation…