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With Valliappa Lakshmanan (Global Head Data Analytics & AI, Google), Sara Robinson (Developer Advocate, Google), Michael Munn (Machine Learning Solns Enggr, Google).
Tue, Jan 19, 2021 @ 01:30 PM   FREE   Online
 
     
 
 
              

      
 
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EVENT DETAILS
Free online AI tech talk event, Join from anywhere with zoom, Register & attend:
https://learn.xnextcon.com/event/eventdetails/W2021011911

Agenda:
* pre-event networking (20mins)
* community updates, jobs/interns/talents announcements. (5mins)
* tech talk & Q&A (45mins)
* Raffle for the 5 copies of the OReilly book (Machine Learning Design Patterns, https://www.oreilly.com/library/view/machine-learning-design/9781098115777/)

Abstract:
Design patterns capture best practices & solutions to recurring problems. Join us for the tech talks & AMA (Ask Me Anything), by the authors of the newly released OReilly book Machine Learning Design Patterns, covering solutions to common challenges in Data Preparation, Model Building, & MLOps.

Lak, Sara & Michael will introduce three of these tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. They will discuss the pattern: a description of the problem, a variety of potential solutions, & recommendations for choosing the best technique for your situation.

Talk #1: Data Representation Design Pattern: Embeddings, by Valliappa Lakshmanan
Talk #2: Reproducibility Design Pattern: Model Versioning, by Sara Robinson
Talk #3: Problem Representation Design Pattern: Multilabel, by Michael Munn

We will also raffle & give away 5 copies of the book

 
 
 
 
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