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DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12369\nFINRA was an earl
 y adopter of cloud computing and machine learning using big data sets. FINR
 A processes up to 135 billion market events a day. How much is 135 billion,
  you may wonder? If one were to save $10,000 a day it would take 37,000 yea
 rs to reach $135 billion! Human analysis and traditional software developme
 nt processes cannot meet this challenge, but machine learning can. \nW
 e’ve made great strides in this area and would like to share our expe
 riences with you! This hands-on workshop will review case studies from real
 -world problems solved by FINRA technologists, and will demonstrate how to 
 apply the best practices we’ve established to common, real-world
  data sets. You do not need to have experience with cloud or ML to find thi
 s session useful.  \nAttendees to this three-hour tutorial will learn 
 how to:\n\n
 Design a data infrastructure to support an effective machine learning platf
 orm: What’s a data lake, why is it important, and how do I find thing
 s in it?\n
 Choose an algorithm: An explanation of basic algorithms, what makes an
  algorithm suitable for a data set, and how you apply them to data\n
 Data labeling: Harness your company’s intellectual property by labeli
 ng your data, and how labeling can improve ML model outcomes\n
 Ensure data quality: Quality is not about looking for needles in hayst
 acks, it’s knowing what besides needles are hidden in there and how t
 o find them\n	Operational excellence: \n	\n
 Advanced data quality checks for large complex big data workloads\n
 How machine learning can help with data anomaly predictions with big data\n
 \n	\n\n
DTSTART:20201019T083000
SUMMARY:AM7: Machine Learning – Harnessing Actionable Intelligence to Tame 
 the Data Tsunami
DTEND:20201019T114459
LOCATION: See Description
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