Answer:
Cccccccccccccccccccccccccccccccccc
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 statement above is false; the motion of electrons can not be predicted precisely. Electrons move around the orbit shells at different energy levels in atoms. Previous research works had devised ways of measuring the angular velocity of electrons and means of tracking the movement of electrons in atoms but the movement of these electrons can not be predicted. They move in a random manner round the nucleus of an atom.<span />
Answer:
Both are touchscreen.
Tablets are seen more as an entertainment device (tv, games, etc.).
Phones are smaller, and used more for everything; you can take phones anywhere you go, whereas tablets are more difficult to transport.
