Learn how to build Netflix-style product recommendation AI models in R, deploy in production, lift customer average order value, and improve the customer experience.
Non editable automatic button
Access for6 weeks
Learn the how to code recommender models in R
We'll teach you how to prepare sales, transaction, and rating data and train and evaluate product recommender models using that data in R.
Learn how to hone your business skills and create a game plan for marketing
We'll provide a step-by-step game plan of pitching your recommender model to the marketing team or business units and hone your business acumen as well as how to track and measure its ROI.
Learn how to deploy your recommender model to production in Azure
We'll teach you how to deploy your product recommender AI model to production for consumption by the business and IT using Microsoft Azure Machine Learning.
Data Scientist | Las Vegas | Miami
Douglas Pestana is a Data Scientist, with over 10 years experience applying data science and machine learning to build CA$H-producing product recommenders, predictive models for marketing campaigns, and segmentation models for 360 customer personalization. His focus is on monetizing data science products, not just producing sexy visualizations and juicy insights. In his previous experience, Douglas has pioneered data science and machine learning at several Fortune 500 and Fortune 1000 companies including PetSmart, Caesars Palace (NASDAQ:CZR), and Watsco (NYSE:WSO). He has a BA degree in Mathematics.