We have a number of products for which we do not have any information about their characteristics/features. The only information we have is from a domain expert, that reviewed them provide us with a similarity value between any two products. How would you convert that information into a multidimensional data set for clustering the products

You are bearish on telecom and decide to sell short 100 shares at the current market price of $50 per share. a. how much in cash or securities must you put into your brokerage account if the broker’s initial margin requirement is 50% of the value of the short position? b. how high can the price of the stock go before you get a margin call if the maintenance margin is 30% of the value of the short position? (input the amount as a positive value. round your answer to 2 decimal places.)

1. how much money did selfridge spend on advertising before the store’s opening? 2. explain what shopping was like in london during the early 1900s. how does this differ from the modern shopping experience? 3. what was the role of a floorwalker in 1900s london? 4. what inspired selfridge to ensure that customers in his store could browse at their leisure? do you need the links to the video?

If joe to go decides to produce its coffee beans domestically and sell them in india through a local retailer, this would be an example of