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Although the Celts developed several new foundational technologies, their widespread adoption in the Roman world was slow. 

Untutored in philosophy, Alexander the Great excelled as an empire builder. 

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.

LDA requires labeled training data where each document is already categorized into predefined topics.

A logistics company is analyzing delivery complaints using LDA and finds that 50% of complaints mention “late delivery” alongside terms like “frustrating” and “unreliable.”  What should the company do next?

In LDA, what are topics?

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

A marketing team wants to group customers based on their purchasing habits but does not have predefined customer segments.  What type of machine learning should they use?

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?

You have trained a machine learning model to classify images of cats and dogs using a dataset collected primarily from daytime, outdoor photos. Now, you want to deploy this model in a system that will also process images taken at night and indoors.   What critical challenge will your machine learning model face in this deployment scenario, and which validation technique would be most crucial to evaluate this challenge? Select the best answer.