b. Ribbons - Powerpoint 2016 has a tabbed ribbon system that groups relevant menus together according to category. The ribbon contains a number of tabs, each having a separate group of commands. The tabs can be used to do most of the common tasks in Powerpoint.
A barcode's bars have
1. different thicknesses, so they each signify 1 or 2 nibbles.
2. the combinations of the thicknesses of those bars exceed the trillions. That's why manufacturers and stores never run out of SKU barcodes.
If a headset plugged into computer is not working properly than one can go for updating the device driver. The correct option is B.
<h3>What is a device driver?</h3>
A device driver is a type of software application that allows one hardware device (such as a computer) to communicate with another hardware device (such as a printer). A device driver is indeed referred to as a software driver.
A driver, also known as a device driver, is a collection of files that instructs a piece of hardware on how to operate by communicating with a computer's operating system.
Every piece of hardware, from internal computer components like your graphics card to external peripherals like a printer, requires a driver.
If a headset plugged into a computer is not working properly, the device driver can be updated.
Thus, the correct option is B.
For more details regarding device driver, visit:
brainly.com/question/14054807
#SPJ12
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:
Image result for construction of semiconductor
A semiconductor device is an electronic component that relies on the
Explanation: