The answers are 1, 3, and 5.
The product of the data scientist, who writes a Machine Learning (ML) algorithm using a large data set, is called a data-driven model.
A data-driven model generates insights and increases the efficiency of decision-making.
This implies that decisions are made based on the insights that the model by the Machine Learning algorithm produces.
Thus, Machine Learning algorithm or code helps entities to make insightful business decisions to increase efficiency and effectiveness.
Learn more about Machine Learning here at brainly.com/question/23738591
Well knowing how the government is with security id go with A. as it makes a lot of sense unlike B and D and if they were looking for software the question would mention it
Answer:
The answer is below
Explanation:
An OLTP (Online transaction processing) database is a database that allows for quick transaction processing. It involves inserting, deleting, updating data in the database.
OLTP has many drawbacks like if the system fails, all transactions are going to have problems. Also, since multiple users are allowed to access the data, it makes it prone to hackers.
The solution to the problems associated to the OLTP database is the OLAP (online analytical processing) database.
The OLAP systems allow users to analyze database information from multiple database systems at one time thereby allowing analysis for business decisions.
/*
Since we have to check the first two options only as mentioned in last part of question the loop will work 2 times only and will compare the cost of first element and second and assign the healthoption accordingly
*/
for(int i =0;i<=1;i++){
if(annualCost[i]<annualCost[i+1]
best2 = healthOption[i]
else
best2 = healthOption[i+1]
}
