Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
Answer it your own self everybody can't always give u the answers
Answer:
this is the answer I think
Answer:
See Explaination
Explanation:
def listmax(lst):
largest = None
for num in lst:
if largest is None or num > largest:
largest = num
return largest
mylist = [10, 20, 30]
x = listmax(mylist)
print(x)
Answer:
The answer is "Remote Domain Access".
Explanation:
It is also known as web access, it is an opportunity to moderately access a desktop or network over a connection to the internet. It also allows you to download the structures, that want even if they are not mentally and emotionally able to communicate specifically.
- In other words, it uses a satellite for interaction or internet service, and users can access systems remotely.
- It is also used in the database, that's why it is the correct answer.