Join Flatiron School as we investigate the algorithms, data science, and the machine learning behind recommendation systems.
Recommendation systems are machine learning systems that help users discover new products and services. In this workshop, our Flatiron School Data Science Instructor will walk you through how recommendation algorithms work to deliver your next favorite show, product, or service — and how you can learn the skills needed to develop your very own algorithms.
What you’ll learn:
The data science process (CRISP-DM)
How a content based system is built
How a non-personalized system is built
Using collaborative systems and utility matrix
The pros and cons for using the different systems
Who is the workshop for?
No experience is required to attend! If you’ve had some experience with statistics or data science in general, there is still a lot to learn from this workshop. This is a no-strings-attached opportunity for you to gain data science knowledge and find out if data modeling is something you’re passionate about. Just show up, and learn something new!