New Epic Workshop!! Build two Recommender Systems with AWS: For E-Commerce and Movie Recommendation! скачать в хорошем качестве

New Epic Workshop!! Build two Recommender Systems with AWS: For E-Commerce and Movie Recommendation!

More tutorials like this in our AWS courses (special promo!): CCP: http://bit.ly/3JrvXk7 | SAA: http://bit.ly/45HC77e 🔔 Hey there CloudWolves! Don’t forget to subscribe for more AWS certification prep content and tutorials!    / @cloudwolfaws     / cloudwolf     / cloudwolfaws   Hey there CloudWolves! Are you ready for our brand new AI in the Cloud workshop? This one will be absolutely epic and I can tell you with confidence that you will be impressed by the results at the end! In this new lab we will leverage the power of Amazon Personalize to build two ML-based Recommender Systems: One for E-Commerce and another one for Movie Recommendation. Amazon Personalize is a fully managed Machine Learning service that uses your data to generate item recommendations for your users. It can also generate user segments based on the users' affinity for certain items or item metadata. We will work with real-world datasets for E-Commerce and Movie Recommendation, we will do some data preprocessing with a super efficient ETL process, we will build several types of recommender systems, and we will run some final recommendations for E-Commerce customers and Netflix customers. This lab is going to be epic! Looking forward to doing our new CloudWolf lab together! Here are the timestamps of the video: 0:00 Welcome! 1:00 Description of the Datasets 7:30 Store the data in S3 13:45 Set up permissions in IAM 18:15 Create the Dataset Group in Amazon Personalize 34:30 Data Preprocessing in AWS Glue DataBrew 1:24:15 Build a Recommendation System for E-Commerce 1:33:00 Build a Recommendation System for Movies 1:47:00 Make some final recommendations for E-Commerce 1:50:30 Make some final recommendations for Movies Cheers, Hadelin More workshops and courses available here: https://community.cloudwolf.com/check... #aws #ai #machinelearning #education #technology