Answer Posted / Avi Mantala

To implement a recommendation system, we can use collaborative filtering, content-based filtering, or a hybrid approach. Collaborative filtering recommends items to users based on the preferences of similar users, while content-based filtering recommends items that are similar to the items a user has previously interacted with. A hybrid approach combines both methods for better results. We can store user preferences and item metadata in a database, and use machine learning algorithms like matrix factorization or k-nearest neighbors to generate recommendations.

What are standardization and normalisation? Give one advantage of each over the other?

74

Do you have research experience in machine learning?

73

Tell me what are the last machine learning papers you've read?

208

Tell us do you have research experience in machine learning?

149