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>
The code that remove duplicate is as follows:
def remove_duplicate(mylist):
mylist = list(dict.fromkeys(mylist))
return mylist
print(remove_duplicate([1, 1, 2, 3, 3, 5, 6, 7]))
<h3>Code explanation</h3>
The code is written in python.
- we defined a function named "remove_duplicate" and it accept the parameter "mylist".
- The variable "mylist" is used to store the new value after the duplicate vallues has been removed.
- Then, wed returned mylist.
- Finally, we call the function with the print statement . The function takes the required parameter.
learn more on python here: brainly.com/question/21126936
Answer:
extranet
Explanation:
An extranet is a controlled private network that allows access to partners, vendors and suppliers or an authorized set of customers – normally to a subset of the information accessible from an organization's intranet.
