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DTSTAMP:20250829T153524Z
UID:3403D681-060D-4ED3-A3EF-F61BBF38E2FC
DTSTART;TZID=America/New_York:20250828T170000
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DESCRIPTION:Machine learning (ML) is a branch of artificial intelligence (A
 I) that focuses on developing algorithms and models that allow computers t
 o learn from data without being explicitly programmed. It&#39;s about equippin
 g systems with the ability to learn\, identify patterns\, and make decisio
 ns based on data\, rather than solely relying on pre-defined instructions.
 \n\nSpeaker(s): Stephen\, \n\nAgenda: \n1. Machine Learning and relationsh
 ip to the Artificial Intelligence circle\n\n2. Defining Machine Learning\n
 \n3. Need for Machine Learning\n\n4. Difference between Machine Learning\,
  Traditional Programming\, and Artificial Intelligence.\n\n5. Workings of 
 Machine Learning algorithms.\n\n6. The Machine Learning Lifecycle\n\n7. Ty
 pes of Machine Learning\n\n8. Various Applications of Machine Learning\n\n
 9. Limitations of Machine Learning\n\n10. Machine Learning Future\n\n11. D
 eep Learning and how it relates to Machine Learning\n\n12. Difference betw
 een Machine Learning and Deep Learning\n\n13. Deep Learning Workings\n\n14
 . Deep Learning in Machine Learning Paradigms\n\n15. Evolution of Neural A
 rchitecture\n\n16. Deep Learning Applications\n\n17. Challenges in Deep Le
 arning\n\n18. Advantages/Disadvantages of Deep Learning\n\n19. Software/mo
 dels for development\n\n20. Deep Learning Future\n\nSt. Petersburg Yacht C
 lub\, 11 Central Ave\, St. Petersburg\, FL 33701  \, St. Petersburg\, Flor
 ida\, United States\, 33701
LOCATION:St. Petersburg Yacht Club\, 11 Central Ave\, St. Petersburg\, FL 3
 3701  \, St. Petersburg\, Florida\, United States\, 33701
ORGANIZER:hermann.amaya.us@ieee.org
SEQUENCE:29
SUMMARY:Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/488294
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 : none\;&quot;&gt;Machine learning (ML) is&amp;nbsp\;a branch of artificial intelligen
 ce (AI) that focuses on developing algorithms and models that allow comput
 ers to learn from data without being explicitly programmed.&amp;nbsp\;It&#39;s abo
 ut equipping systems with the ability to learn\, identify patterns\, and m
 ake decisions based on data\, rather than solely relying on pre-defined in
 structions.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;mso-pagination: none\;
 &quot;&gt;&lt;span lang=&quot;en-US&quot; style=&quot;language: en-US\; mso-ligatures: none\;&quot;&gt;&amp;nbsp
 \;&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;MsoListParagraphCxSpFirst
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 nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Machine Learning and relationshi
 p to the Artificial Intelligence circle&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxS
 pMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if
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 nbsp\;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Defining Machine Learning
 &lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; m
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 [endif]--&gt;Need for Machine Learning&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMid
 dle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !su
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 4.&lt;span style=&quot;font: 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp
 \;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Difference between Machine Le
 arning\, Traditional Programming\, and Artificial Intelligence.&lt;/p&gt;\n&lt;p cl
 ass=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0
  level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso-fareast-font-fa
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 &quot;&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;W
 orkings of Machine Learning algorithms.&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxS
 pMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if
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 nbsp\;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;The Machine Learning Life
 cycle&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25i
 n\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso
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 mes New Roman&#39;\;&quot;&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span
 &gt;&lt;!--[endif]--&gt;Types of Machine Learning&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCx
 SpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [i
 f !supportLists]--&gt;&lt;span style=&quot;mso-fareast-font-family: &#39;Times New Roman&#39;
 \; mso-bidi-font-family: &#39;Times New Roman&#39;\;&quot;&gt;&lt;span style=&quot;mso-list: Ignor
 e\;&quot;&gt;8.&lt;span style=&quot;font: 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;
 &amp;nbsp\;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Various Applications of 
 Machine Learning&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-in
 dent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span
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 : 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; &lt;/span&gt;&lt;/
 span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Limitations of Machine Learning&lt;/p&gt;\n&lt;p class=&quot;M
 soListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 level
 1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso-fareast-font-family: 
 &#39;Times New Roman&#39;\; mso-bidi-font-family: &#39;Times New Roman&#39;\;&quot;&gt;&lt;span style
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 sp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Machine Learning Future&lt;/p&gt;\n&lt;p cl
 ass=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0
  level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso-fareast-font-fa
 mily: &#39;Times New Roman&#39;\; mso-bidi-font-family: &#39;Times New Roman&#39;\;&quot;&gt;&lt;span
  style=&quot;mso-list: Ignore\;&quot;&gt;11.&lt;span style=&quot;font: 7.0pt &#39;Times New Roman&#39;\
 ;&quot;&gt;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Deep Learning and how it rel
 ates to Machine Learning&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle&quot; style=
 &quot;text-indent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]
 --&gt;&lt;span style=&quot;mso-fareast-font-family: &#39;Times New Roman&#39;\; mso-bidi-font
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 yle=&quot;font: 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[en
 dif]--&gt;Difference between Machine Learning and Deep Learning&lt;/p&gt;\n&lt;p class
 =&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 le
 vel1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso-fareast-font-famil
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 class=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: 
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 family: &#39;Times New Roman&#39;\; mso-bidi-font-family: &#39;Times New Roman&#39;\;&quot;&gt;&lt;sp
 an style=&quot;mso-list: Ignore\;&quot;&gt;14.&lt;span style=&quot;font: 7.0pt &#39;Times New Roman
 &#39;\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Deep Learning in Machine L
 earning Paradigms&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-i
 ndent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;spa
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 Evolution of Neural Architecture&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle
 &quot; style=&quot;text-indent: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !suppo
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 &lt;span style=&quot;font: 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span
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 an&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Challenges in Deep Learning&lt;/p&gt;\n&lt;p class=&quot;MsoList
 ParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; mso-list: l0 level1 lfo1
 \;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso-fareast-font-family: &#39;Times
  New Roman&#39;\; mso-bidi-font-family: &#39;Times New Roman&#39;\;&quot;&gt;&lt;span style=&quot;mso-
 list: Ignore\;&quot;&gt;18.&lt;span style=&quot;font: 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\; &lt;
 /span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Advantages/Disadvantages of Deep Learnin
 g&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpMiddle&quot; style=&quot;text-indent: -.25in\; 
 mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span style=&quot;mso-far
 east-font-family: &#39;Times New Roman&#39;\; mso-bidi-font-family: &#39;Times New Rom
 an&#39;\;&quot;&gt;&lt;span style=&quot;mso-list: Ignore\;&quot;&gt;19.&lt;span style=&quot;font: 7.0pt &#39;Times
  New Roman&#39;\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Software/models 
 for development&lt;/p&gt;\n&lt;p class=&quot;MsoListParagraphCxSpLast&quot; style=&quot;text-inden
 t: -.25in\; mso-list: l0 level1 lfo1\;&quot;&gt;&lt;!-- [if !supportLists]--&gt;&lt;span st
 yle=&quot;mso-fareast-font-family: &#39;Times New Roman&#39;\; mso-bidi-font-family: &#39;T
 imes New Roman&#39;\;&quot;&gt;&lt;span style=&quot;mso-list: Ignore\;&quot;&gt;20.&lt;span style=&quot;font: 
 7.0pt &#39;Times New Roman&#39;\;&quot;&gt;&amp;nbsp\; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;Deep
  Learning Future&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;
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