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>
<span>The format cells dialog box tab that gives
choices to locking or concealing cells to keep different clients from altering
their substance is protection. <span>It is part of Microsoft office application that enables to lock or
protect the data. It is a way of protecting the files.</span></span>
Answer:
Not sure about the first one
Second is False
Third is True
I think four is False
Five is Decor
6 is Content Page
Explanation:
A ;mo 6 is more than 2 and 75000 is more than 15000
False - the +ve n -ve cables must be disconnected in the reverse order in which they were connected
