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NAME:Calvert Library
X-WR-CALNAME:Calvert Library
BEGIN:VEVENT
UID:a2d2b259-a582-496f-a6dc-ed36d753f1d2
SEQUENCE:0
DTSTAMP:20260915T202933Z
DTSTART;TZID=America/New_York:20220823T183000
DTEND;TZID=America/New_York:20220823T193000
SUMMARY:Artificial Intelligence 101
LOCATION:Calvert Library Prince Frederick\nCalvert Library Prince Frederic
 k
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Calvert Library Prince Fre
 derick;X-APPLE-RADIUS=10;X-TITLE=Calvert Library Prince Frederick:geo:38.5
 55978,-76.599222
GEO:38.555978;-76.599222
DESCRIPTION:Are you interested in learning more about artificial intellige
 nce and machine learning?  Join us for a series of conversations and even 
 some hands-on learning to become more knowledgeable about this field. This
  is an introductory course but you will have the opportunity to go in-dept
 h if you so choose.  This month we'll discuss "The Every" by Dave Eggers..
 \nhttps://calvertlibrary.libnet.info/event/6598455
X-ALT-DESC;FMTTYPE=text/html:<p>The&nbsp\;Every\, or at last a sense of or
 der\, or&nbsp\;the&nbsp\;final days of free will\, or limitless choice is 
 killing&nbsp\;the&nbsp\;world by Dave Eggers can be placed on hold <a href
 ="http://catalog.somd.lib.md.us/polaris/view.aspx?title=The%20Every&amp\;a
 uthor=Eggers">here</a>.</p>\n<p>This event is in-person at Calvert Library
  Prince Frederick but online attendance can be accommodated.&nbsp\; <a hre
 f="https://www.linkedin.com/groups/14086290/">LinkedIn group</a> is also a
 vailable.&nbsp\;</p>\n<p>Machine learning is the science of getting comput
 ers to act without being explicitly programmed. In the past decade\, machi
 ne learning has given us self-driving cars\, practical speech recognition\
 , effective web search\, and a vastly improved understanding of the human 
 genome. Machine learning is so pervasive today that you probably use it do
 zens of times a day without knowing it. Many researchers also think it is 
 the best way to make progress towards human-level AI. In this course\, you
  will learn about the ethics and concerns of creating AI/ML applications f
 or various industries\, how AI/ML will affect our work\, lives\, and overa
 ll humanity.&nbsp\; We will also explore existing projects\, training AI/M
 L systems\, and using various ML frameworks (TensorFlow\, Juptyr\, SciKit-
 Learn\, Python). For some of the exploration work\, basic knowledge of alg
 ebra\, programming logic\, and the use of a free tier AWS cloud account wo
 uld help you to engage more deeply with the content but it's OK to just li
 sten in. If you want to dig deep but need to do a little catching up first
 \, log in to the library's LinkedIn Learning classes to brush up on any of
  these skills.&nbsp\; Some recommended classes:</p>\n<p>Programming Founda
 tions: Fundamentals (2 hrs)</p>\n<p>Programming Foundations: Fuzzy Logic (
 41 min)</p>\n<p>Introduction to AWS for Non-Engineers: 1 Cloud Concepts (1
  hr)</p>\n<p><strong>A couple free Coursera courses could also be a resour
 ce:</strong></p>\n<p><a href="https://www.coursera.org/learn/machine-learn
 ing">Machine Learning by Andrew Ng</a></p>\n<p><a href="https://www.course
 ra.org/specializations/mathematics-machine-learning">Machine Learning Math
 </a></p>\n<p><strong>Some related reading:</strong></p>\n<p><a href="http:
 //catalog.somd.lib.md.us/polaris/view.aspx?title=life%203.0%20&amp\;author
 =tegmark">Life 3.0 by Max Tegmark&nbsp\;&nbsp\;</a></p>\n<p></p>\nhttps://
 calvertlibrary.libnet.info/event/6598455
URL;VALUE=URI:https://calvertlibrary.libnet.info/event/6598455
ATTACH:https://static.libnet.info/images/events/calvertlibrary/42622SoMDCl
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