In case study 1, what are some goals the model was trying to optimize for? There can be more than one answer. O Maximizing total population reached by the network of providers O Maximizing equity of Vaccine Distribution O Maximize revenue from vaccine distribution Minimize cost of delivering vaccines from providers
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- Answer the following questions1. We have 3 data points for a model (1, 1), (2, 2), (3,3) and theta0, theta1 is consequently .5 and 1. What is the value of cost functions for the data (1.5, 1.8) and (2.3, 2.1)?2. What is confusion matrics? Why we use it?" data points denote (X, Y) values in question.Consider amodel of a drone to deliver the orders of the customerswithin the range of 20 km of the coverage area. a) Identified atleast 5 factors (inputs)required to experiment withthe above mention system model(e.g speed of the drone). b) Write down thelevels (range or setting)for each factor mentioned above.(e.g speed ranges from 10km/h to 30km/h). c) On what responses(results)will you analysethe experiment’s success orfailure(e.g drone failed to deliver the package on time), mention atleast 3 responses.Q.1: a. What is TFIDF? What is significance of IDF? Explain role of IDF in classification with one real life example. Give an example where IDF may not make sense while classifying. b. Explain how can you apply TFIDF to classify product reviews? (Here each post has 20 words). Give Pseudo code for the same. c. Discuss an algorithm to rank these reviews for different new customers based on their personalized parameters. (Make necessary assumptions) d. Can you combine CNN and TFIDF in this case? How? e. Discuss an algorithm where you combine different reviews to provide a single personalized review of the product for a particular customer.
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- what machine learning model to estimate the duration of delivery time? there will be various features ex location, number of deliverer and etcQuestion 7In farming, given data on crop yields over the last50 years, learn to predict next year's crop yields. Is this regression or classification?Artificial Intelligence (For this scenario describe how you would develop an inteligent system to solve this problem) One of the challenging tasks of AI is to find the optimal path from one place to the destination place. I'ts is to find the optimal path for a vehicle to travel so that cost and time can be minimized. How can we solve this business problem using AI
- 19. What is the major advantage of using Incremental Model? a. Customer can respond to each increment b. Easier to test and debug c. It is used when there is a need to get a product to the market early d. Both b & cCurrently Techsoft has an exceptionally high customer service level of98%much high than any of its competiors. Customers showed positive response towards a possible lower but acceptable service level. Results of the surveyshowed 45 of the customers would be serviced at 908 (classified hereon as Category i) and the rest would have to serviced at95%(CategoryALast year, the retailer's weekly variance of demand was 100 units. The variance of orders was 250, 300, 400 and 600 units for the retailer, wholesalers, distributing and manufacturer. respectively (note that the variance of orders equals the variance of demand for that firm's supplier) A. calculate the bullwhip measures for the retailer, wholesales, distributor and manufacturer? B. what is the bullwhip effect for the entire supply chain? C. provide actionable guidelines (with anticipated bullwhip measures of each point on how to reduce bullwhip measures to 2 in the supply chain? All your calculations has to be done on paper and has to be done on excel sheets. Each question you must show the formula used to calculate the answer in excel sheet in order to use excel in exam. The excel sheet must be used as well and provide all the formulas used for each answer in order to use excel in the exam.
