BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:"Machine Learning at LASP: How we train computers to identify 
 patterns in space data"
X-WR-TIMEZONE:Mountain Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261017T053538Z
UID:tag:localist.com\,2008:EventInstance_35166458210550
DTSTART:20201203T020000Z
DTEND:20201203T030000Z
DESCRIPTION:Machine learning\, a way of programming a computer to improve a
 t a task without human intervention\, has gained popularity in Earth and s
 pace sciences in recent years. This rise in prevalence is due to increasin
 g data volumes as well as algorithmic advances. When you think about machi
 ne learning or artificial intelligence\, you might imagine a robot with hu
 man-like mental capabilities à la Blade Runner. In reality\, many scienti
 sts and software engineers use machine learning for less exotic tasks\, su
 ch as teaching a computer to recognize anomalies in images or find pattern
 s in vast swaths of data.\n\nIn this talk\, LASP software engineer Wendy C
 arande will discuss how machine learning is applied to the data collected 
 at LASP. From predicting when a large solar flare is likely to occur to id
 entifying outliers in telemetry data\, machine learning has become a valua
 ble tool for many LASP projects\, but it has also presented challenges tha
 t will be explored.​
LOCATION:
SUMMARY:"Machine Learning at LASP: How we train computers to identify patte
 rns in space data"
URL;VALUE=URI:https://calendar.colorado.edu/event/lasp_public_lecutre_machi
 ne_learning_at_lasp_how_we_train_computers_to_identify_patterns_in_space_d
 ata
CATEGORIES:Lecture/Presentation
CATEGORIES:Virtual
END:VEVENT
END:VCALENDAR