Rand.int(your_num , your_num
Answer:
That is called declaring a variable
Explanation:
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:
Go to Settings. Click on Advanced Settings. Scroll down to the Accessibility section. Make sure that the box next to “Automatically click when the mouse pointer stops” is Unchecked.
Explanation:
here you go hope this helps!!
A PCM system consists of a PCM encoder (transmitter) and a PCM decoder (receiver). The essential operations in the PCM transmitter are sampling, quantizing and encoding. All the operations are usually performed in the same circuit called as analog-to digital convert Early electrical communications started to sample signals in order to multiplex samples from multiple telegraphy sources and to convey them over a single telegraph cable. The American inventor Moses G. Farmer conveyed telegraph time-division multiplexing (TDM) as early as 1853. Electrical engineer W. M. Miner, in 1903, used an electro-mechanical commutator for time-division multiplexing multiple telegraph signals; he also applied this technology to telephony.
