Answer:
Street prices are affected by the extent of illegal commercial copying. The availability of inexpensive, high-quality illegal copies reduces the demand for legal copies to the extent that some users buy illegal copies instead of legal ones.
page layout tab or the page setup dialog box
Answer: Crossover
Explanation:
Based on the information given in the question, the type of cable that should be used is the crossover cable.
Crossover cable is used for a direct connection of computing devices. A crossover cable is typically used for the connection of computing devices that are of identical types.
Since the LAN port on a router is to be connected to the uplink port on a switch and the switch does not support auto-MDI, the crossover cable can be used.
Answer:The price for renting a car at a car rental company is according to the following schedule: Write a MATLAB program in a script file that calculates the cost of renting a car based on the shown price schedule. The program must ask the user to enter the type of car (Sedan or SUV), the number of days, and the number of miles driven. The program then displays the cost (rounded to cents) for the rent in a sentence that reads: "The cost of the rent is XXX $." where XXX is the cost value in $. Run the program three times for the following cases: Sedan, 10 days, 769 miles. SUV, 32 days, 4, 056 miles. Sedan, 3 days, 511 miles. Use fprintf () to display the text and data. The data should be displayed in f format with two decimal digits.
Explanation:
Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
