Answer:
q1 chees
q2 web and digital continant
Explanation:
because haaa haaa haa dhum
Answer:
hope you like it
Explanation:
Two types of power supplies exist, DC-DC and AC-DC. DC-DC power supplies allow you to plug in electrical devices into car outlets or similar sources that supply direct current, or DC, power. These power supplies are not the most commonly used, though.
Classification of Power Supply and Its Different Types
OUTPUT = DC OUTPUT = AC
INPUT = AC Wall wart Bench power supplies Battery charger Isolation transformer Variable AC supply Frequency changer
INPUT = DC DC-DC converter Inverter Generator UPS
Answer:
Each pixel in an image is made up of binary numbers. If we say that 1 is black (or on) and 0 is white (or off), then a simple black and white picture can be created using binary. To create the picture, a grid can be set out and the squares coloured (1 – black and 0 – white).
Answer:
Yes, these things can be considered a computer. And they can also store and process data.
Explanation:
Headphones, radios, dishwashers, and remote controls are all computers because they all have some sort of logic board inside the device to control what it does. Example, a dishwasher has internal components that it uses to keep track of how long the wash/rinse cycle have lasted and how long they are supposed to last.
I hope that helps!
Answer:
1. Data Cleaning
2. Data Integration
3. Data Selection
4. Data transformation
5. Data Mining
6. Pattern Evaluation
7. Knowledge presentation
Explanation:
The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:
Step 1. Data cleaning: this involves the elimination of inconsistent data.
Step 2. Data integration: this involves the combination of data from multiple sources.
Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.
Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.
Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.
Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.
Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.
