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 options are missing from the question,below are the options to choose from;
A) incorrect (or missing) routes in a routers routing table
B) incorrect DNS configuration on the PC
C) incorrect default gateway configuration on the PC
D) duplicate IP addresses on your LAN
Answer: The correct answer to the question is option A
INCORRECT (OR MISSING) ROUTES IN A ROUTERS ROUTING TABLE.
Explanation: When it is possible for a PC to ping some devices but not actually all,we can then make an assumption that either it has a wrong subnet that is configured or the router from the path to the remote device actually has an incorrect or a missing routes to the device.
The prices went up alot because of taxes
Answer:
If we could not save the people or animals life they would die
Explanation:
