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
Answer:
- def is_prime(n):
- for i in range(2, n):
- if(n % i == 0):
- return False
- return True
-
- prime_truths = [is_prime(x) for x in range(2,101)]
- print(prime_truths)
Explanation:
The solution code is written in Python 3.
Presume there is a given function is_prime (Line 1 - 5) which will return True if the n is a prime number and return False if n is not prime.
Next, we can use the list comprehension to generate a list of True and False based on the prime status (Line 7). To do so, we use is_prime function as the expression in the comprehension list and use for loop to traverse through the number from 2 to 100. The every loop, one value x will be passed to is_prime and the function will return either true or false and add the result to prime_truth list.
After completion of loop within the comprehension list, we can print the generated prime_truths list (Line 8).
Answer:
The independent variable is Native American participants
Explanation:
Why Native Americans is the independent variable is bacause the survey population is Native Americans and the result of the survey won't be affected by the gender and age of the native american participants. So it the independent variable.
Answer:
The description for the given question is described in the explanation section below.
Explanation:
Depending on the needs of the device programmers these OS have various locking frameworks. Spinlocks become beneficial for preemptive multitasking processes during which a thread will operate in such an active loop instead of risking a rest queue latency. Mutexes become beneficial to utility lockers.
- Solaris 2 employs flexible mutexes, indicating something like this on preemptive multitasking computers, the mutex is introduced with either a spinning switch.
- Semaphores and state variations are much more effective methods for consistency where a commodity needs to be managed for such a prolonged period of time because spinning is unstable over a prolonged time.
