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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART;TZID=America/Detroit:20180516T140000
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DTSTAMP:20260608T124950
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SUMMARY:Intro to Natural Language Processing with Python
DESCRIPTION:This workshop will provide a quick overview of natural language processing using Python. We’ll cover the basics. Segmenting text into tokens\, assigning part-of-speech\, assigning dependency labels\, detecting and labeling named-entities. We’ll also cover sentiment analysis\, topic modelling and maybe some visualizations. The workshop will be conducted in Python and is intended for users with basic Python programming knowledge. Anaconda Python 3.5 and a Jupyter Notebook will be used.
URL:https://micde.umich.edu/event/intro-to-natural-language-processing-with-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180524T140000
DTEND;TZID=America/Detroit:20180524T170000
DTSTAMP:20260608T124950
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000143-1527170400-1527181200@micde.umich.edu
SUMMARY:Geospatial analysis with Google Earth Engine
DESCRIPTION: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 models in GEE\, basic vector and raster operations\, and classification in both feature and image space. \nYou should be familiar with vector and raster data\, GIS and remote sensing. We will use the web-based IDE for the Earth Engine JavaScript API. You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine.
URL:https://micde.umich.edu/event/geospatial-analysis-with-google-earth-engine/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20180531T090000
DTEND;TZID=America/Detroit:20180531T163000
DTSTAMP:20260608T124950
CREATED:20230905T171420Z
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UID:10000075-1527757200-1527784200@micde.umich.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. \nNote: Topic order is subject to change.  Participants must sign up for the entire series. \nFundamentals \nThis 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 missing values\, and various ways to enter data into SPSS.  Finally\, it covers a brief introduction to obtaining frequency distributions\, descriptive statistics\, and cross tabulations of variables. \nWithin-Case Transformations \nThis portion introduces data management capabilities\, including recoding variables (manual and automatic)\, computing new variables using formulas\, and counting occurrences of values within subjects.  Attention then turns to temporary transformations\, conditional processing of transformations\, and repetitive transformations.  SPSS syntax is also introduced. \nData Management with Multiple Files \nThis portion begins with a discussion of subsetting data files by drawing samples\, selecting groups and excluding groups from analysis.  Then\, the two main methods of merging SPSS data files are covered: adding additional variables and adding additional cases.  Next\, creating aggregated data sets and applying aggregated data to individuals is covered.  Lastly\, importing and exporting data between SPSS and other statistical programs (Excel\, dBase\, SAS) is demonstrated. \nBasic Statistics and Graphics\nThis portion covers basic exploratory procedures\, including obtaining percentiles\, frequencies\, descriptive statistics\, and cross tabulations. Basic comparative procedures including two-sample t-tests\, paired t-tests\, and one-way analysis of variance are also covered.  Then\, simple bivariate correlation analysis is introduced.  Participants are given a basic introduction to commonly used graphical procedures for displaying data\, including scatter plots\, bar graphs\, histograms\, and boxplots. \nRegistration\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nCenter for Statistical Consultation and Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070 \n 
URL:https://micde.umich.edu/event/introduction-to-spss-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
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