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#ml.net#matrixfactorization#collaborativefiltering
Create a Recommendation Model in ML.NET (C#)
Jon Wood
4.5K subscribers • 4 videos on Hallway
- Recommended by 1 person: 1 in engineering communities.
- Presented by Jon Wood
- Linked in the descriptionjwood803/MLNetExamples
- May be out of date. The tools, versions or practices it shows have likely moved on.
Beginner. No background in the topic needed.
13K views7 years ago1 recommendation
AI and machine learningProgramming languagesC# and .NETClassic machine learning
Jon Wood shows how to build a book recommendation model using the Matrix Factorization trainer in ML.NET and C#.
Quick video to show how to create a recommendation model with the Matrix Factorization trainer using the GoodReads book rating data set. 📘 Learn ML.NET step by step in my LinkedIn Learning course → linkedin.com/learning/ml-dot-net-getting-started 🔔 Subscribe for more .NET, AI, and data tutorials → youtube.com/@JonWood?sub_confirmation=1 Data - kaggle.com/dicoderdisha/goodreads-dataset Matrix factorization video - youtube.com/watch?v=ZspR5PZemcs Full sample code - github.com/jwood803/MLNetExamples/tree/master/MLNetExamples/… Contact: Twitter: twitter.com/JWood/ Blog: jonwood.co/Why it's here
1 person recommends thisWhat people say. Recommended as a quick and clear introduction to building recommendation engines using ML.NET.