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september, 2018

15sep(sep 15)12:58 PM(sep 15)12:58 PMMovies Recommendation Case Study (Developer Circles)

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Event Details

Welcome to the forth Machine Learning Meetup from Facebook ( and maybe the coolest one so far 😎). This time, we will go through a detailed case study that discusses Machine Learning based movies recommenders and how they work in both theory and practice. Recommendation systems became widely used in the past few years. Most of us use them every day on services like Facebook, Netflix, Youtube, Amazon, and a whole bunch of other services. Although We will focus on movies recommendations during this coming Meetup, the approach and practices that we will cover are highly common to use in other recommendation systems. Hence you can apply the same concepts while building other smart recommenders in topics like food, books, fashion, jobs … etc.

What to Expect From This Workshop:
– Get to know how Netflix & Youtube Recommend Content to their users.
– Hands-on implementation of the popular algorithms.
– Get familiar with some terminologies like Cosine Similarity, Similarity Matrix, TF-IDF, Matrix Factorization.
– Maybe walk away with some cool movies to watch.

Registration Link:
https://beam.li/ml-004

Time

(Saturday) 12:58 PM - 5:58 PM

Location

Robusta, Concord Plaza

robusta 34/35 Concord Plaza, St. 90, Cairo, Egypt

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