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UID:62000bd5-9317-4691-b563-efe77ea40c11@nexttoyou
DTSTAMP:20261106T174956Z
DTSTART:20261214T050000Z
DTEND:20261214T060000Z
SUMMARY:Mathematics of Big Data & Machine Learning
DESCRIPTION:Enrollment: Limited: Advance sign-up required Limited to 35 pa
 rticipants\n\nAttendance: Participants must attend all sessions\n\nPrereq
 : Matrix Mathematics\n\nBig Data describes a new era in the digital age w
 here the volume\, velocity\, and variety of data created across a wide ra
 nge of fields is increasing at a rate well beyond our ability to analyze 
 the data. Machine Learning has emerged as a powerful tool for transformin
 g this data into usable information. Many technologies (e.g.\, spreadshee
 ts\, databases\, graphs\, matrices\, deep neural networks\, ...) have bee
 n developed to address these challenges. The common theme amongst these t
 echnologies is the need to store and operate on data as tabular collectio
 ns instead of as individual data elements. This class describes the commo
 n mathematical foundation of these tabular collections (associative array
 s) that apply across a wide range of applications and technologies. Assoc
 iative arrays unify and simplify Big Data and Machine Learning. Understan
 ding these mathematical foundations allows the student to see past the di
 fferences that lie on the surface of Big Data and Machine Learning applic
 ations and technologies and leverage their core mathematical similarities
  to solve the hardest Big Data and Machine Learning challenges.\n\nThis i
 nteractive course will involve significant interactive student participat
 ion and a small amount of homework. Those students who fully participate 
 and complete the homework will receive a certificate of completion.\n\nht
 tp://next-to-u.app/events/62000bd5-9317-4691-b563-efe77ea40c11
URL:http://next-to-u.app/events/62000bd5-9317-4691-b563-efe77ea40c11
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