Question d’entretien chez Credit Karma

Leetcode: Dynamic Programming ML Basics, kNN vs ANN (why each, when to use each...) Depth and breadth knowledge in recommendation systems. Flexible by design and dependent on your answers, e.g. two tower models, benefits of different embeddings (when/why to use each), constructing the loss/cost function when training the models, know when/where/how it ties to business metrics & needs.