Name: Meetup July: Machine Learning in Production & Product Recommendations with Solr
Start: 2018-07-17T18:30:00+03:00
End: 2018-07-17T21:30:00+03:00
Location: Avira Romania

Hello everybody,

I am happy to announce our last meetup before summer holidays. We started some meetups ago to discuss machine learning related subjects and I am happy to continue with this subject in our next meetup: Tatiana @ Avira will talk about ML in Production and Oana @ eSolutions will talk about how to solve product recommendations with Apache Solr. Thank you ladies for taking the time to present in our meetup.

Please note that we will have about 75 places available for this meetup and given our show-up rate we will cap at 130 the max registered. We won't be able to go above this number of places given that sometimes our show-up rate is 65% but can also be 50%.

The schedule will look like this (updates will be done regarding the presentations details until the meetup):

6:30 - 7:00 PM gathering and socializing

7:00 - 7:40 PM Recommendations with Solr, Oana Brezai (https://www.linkedin.com/in/oana-brezai-83318214/) @ eSolutions

In our Recommendation System, we are using SOLR 7 to provide meaningful recommendations to our customers. Curious on how we implemented it? Join us on 17.07 to see detailed implementation examples and live demos.

7:40 - 8:10 PM Machine Learning in Production: Ideas and Architectures, Tatiana Petrache (https://www.linkedin.com/in/tatiana-petrache-35827420/) @ Avira

Building a “disconnected” machine learning model is a relatively straightforward task nowadays and most of the time this enable us to discover a lot of useful insights about the data. All this sounds great, but it limits the ML model from reaching its true potential when deployed into production. In this talk we will explore ways to address this situation.

8:10 - 9:00 PM Socializing, pizza and drinks sponsored by Avira.

Hope to see you soon,

Valentina

Valentina Crisan

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Meetup July: Machine Learning in Production & Product Recommendations with Solr

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