Articles
Cold Start Problems in "Machine Learning"
The cold start problem in "machine learning" (ML) is a typical issue faced by systems based on "machine learning." It is particularly relevant for recommendation systems. A neural network trained on a dataset needs to make a prediction about what will best meet the user's needs, but it does not have enough data to do so. Our consultant in preparing this article was Olga Kovaleva, a senior analyst-developer at Yandex.