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:
The answer is "Supercomputers".
Explanation:
A supercomputer is a device with or near the highest computer operating price. These computers have typically used in scientific and technical systems with huge libraries or amounts of computing. It applies to machines, that are at the time of their launch are one of the fastest in the world, and the incorrect option can be described as follows:
- A mainframe computer is used in large organizations.
- A quantum computer is a computing tool that uses experimentally computational systems directly.
- The supermini and mini super, both computers are used in researches.
There are 8packs of 25, or 10 packs of 20 depending on the brand.... both adding up to 200 cigarettes total.
Answer:
c: running
Explanation:
when the computer is turned on The operating system keeps things organized in the background so that multiple programs can run at the same time