10 marks 5 marks 4. a) Briefly outline one process used by Word2Vec to generate vector representations for words. Describe the role played by neural network learning as used by Word2Vec. b) Using examples or otherwise, outline two distinct uses of Word2Vec vectors. Answers can involve comparing and/or combining these vectors. What is lazy learning and how does it differ from alternative approaches? What are the main advantages associated with the use of lazy learning? You may use examples in your answer. d) Describe the application of the K-Nearest Neighbours (KNN) approach to predicting the sale value of a property (eg a house or apartment), given an extensive database of recent sales. What data would you store on each transaction to derive your solution? 5 marks 5 marks