Font(s)
fonts is another word for typeface
the appearance of letters and numbers when you chang the font
CodeHS is an interactive online learning platform offering computer science and programming instruction for schools and individual learners.
CodeHS is focused on spreading access to and knowledge of computer science by offering online instructional materials supported by remote tutors.
Explanation:
Downloading an image from a website on the internet.
- Right-click the image.
- Choose the command Save Picture As. The command might be different in browsers other than Internet Explorer.
- Use the Save Picture dialog box to find a location to save the picture. You can rename the picture as it's saved to your computer's storage system
- Click the Save button.
Download an image of Karel the dog from the URL
- Create a folder in your laptop
- Place your text file of images URL in the folder.
- cd to that folder.
- Use wget -i images.txt.
- You will find all your downloaded files in the folder.
How your computer finds the CodeHS server, requests information from the server, and receives it.
- When you enter an URL into the address bar of browser, browser will send the domain to a server call DNS to convert the domain into IP address.
- For example: google dot com will be convert into 113.171.253.224
- Next, the browser will send your request to that IP.
- All your sent data will be divided into packages, each package contains your IP address.
- That is the reason why server know who it will send the response.
The correct answer is known as a "query".
When you ask a lot of complex questions , which uses comparison operators, that is called a query. A query refers to the <span>exact request for </span>data retrieval<span> with the use of database and information systems. </span>
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>