How much free water will this provide? 

BONUS (+5 points): In lecture 5, we discussed the different types of word embeddings, Frequency based and Prediction based. Which of the following fall under the Prediction Based Embeddings? Select all that apply.

In LDA, what are topics?

What is the main output of LDA?

In LDA, the number of topics (K) is automatically determined by the model and does not need to be manually specified.

Which of the following is the primary output of a “bag of words” model?

Which machine learning task is most likely unsupervised?

Sarah, a data analyst with limited experience in machine learning, has a dataset of customer churn and wants to build a predictive model. She is considering using an AutoML platform to speed up the process. Select the best answer.   While AutoML promises to automate many aspects of machine learning, in which of the following areas should Sarah likely invest additional effort and critical thinking, even when using an AutoML tool?

Topic modeling uncovers hidden categories in text.

An email provider uses machine learning to classify incoming messages as “urgent” or “not urgent” based on a dataset of previously labeled messages.  Which of the following best describes this approach?