Skip to content

Recommender Systems from A to Z – Real-Time Deployment

Photo of Gloria Keane
Hosted By
Gloria K.
Recommender Systems from A to Z – Real-Time Deployment

Details

In the last year, there have been a lot of improvements done in the field of Machine Learning and the tools that support the community of developers. Still, implementing a recommender system is very hard.
That is why at Crossing Minds, we have decided to create a series of four meetups to discuss how to implement a recommender system end-to-end:

Part 1 – The Right Dataset
Part 2 – Model Training
Part 3 – Model Evaluation
Part 4 – Real-Time Deployment

This fourth meetup will present good practices and tips about deploying a recommender system in production. We will cover a wide range of the day-to-day of machine learning engineers and devops: from test-driven development to continuous integration and cloud architecture design. We will see how machine learning and recommender system in particular differ from traditional software development, and how this impacts deployment pipelines, and what tools you can use to solve this problem.

Speaker
CTO at Crossing Minds, Emile Contal

Agenda

6:30pm - 6:45pm Meet and Greet
6:45pm - 7:30pm Speakers
7:30pm - 8:00pm Q&A

Additional Notes

Previous Meetup Slides:
Recommender Systems from A to Z - The Right Dataset: https://www.slideshare.net/CrossingMinds/recommender-systems-from-a-to-z-the-right-dataset

Recommender Systems from A to Z – Model Training: https://www.slideshare.net/CrossingMinds/recommender-systems-from-a-to-z-model-training

Recommender Systems from A to Z – Model Evaluation: https://www.slideshare.net/CrossingMinds/recommender-systems-from-a-to-z-model-evaluation

We'll have food. Lot of food!

Photo of Events at Crossing Minds group
Events at Crossing Minds
See more events
Crossing Minds Inc
22 Rausch St suite b · San Francisco, CA