1. Machine Learning Coding: DataLoader and Neural Network Training
Given a CSV file with five rows and columns including number feature, text feature, and embedding, write a DataLoader and train a neural network (or any other model of your choice, with the requirement to import packages) to predict click-through rate. The solution should be runnable and testable in a Jupyter notebook. Package lookup is allowed via Google but not GPT.
2. Machine Learning Model for Email News Recommendation
Design a machine learning model for recommending email news for a service like Nextdoor. Discuss the model design and how you would approach building this recommendation system.
3. Design a system for recommending posts
In an interview about machine learning depth, you were asked about how to recommend posts to users. The discussion leaned towards design, and while discussing, some questions about machine learning basics were also asked.
