Machine Learning Design Patterns webinar

GDG Cloud Boston
Tue, Jan 19, 2021, 10:30 AM (PST)

23 RSVP'ed

Machine Learning Design Patterns webinar at AICamp, presented by Valliappa (Lak) Lakshmanan, Sara Robinson, Michael Munn, all of Google.

About this event

One of our peer GDG's, GDG Cloud Bellevue, asked us to promote a free event at AICamp

Here is the announcement from GDG Cloud Bellevue. Please note that you need to register separately at AICamp.

Free online AI tech talk event, Join from anywhere with zoom, Register and attend:


* pre-event networking (20mins)

* community updates, jobs/interns/talents announcements. (5mins)

* tech talk and Q&A (45mins)

* Raffle for the 5 copies of the O’Reilly book (Machine Learning Design Patterns,


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

Lak, Sara and 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, and 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 and give away 5 copies of the book.

Please note that O'Reilly is a sponsor of GDG Cloud Boston. In addition to the book being raffled during the event, O'Reilly has published the following important books on related topics:

Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Building Machine Learning Powered Applications: Going from Idea to Product


Tuesday, Jan 19
10:30 AM - 11:30 AM (PST)