Ask them what's ur name and get to the know them i have nothing really.
your account has enabled profile pictures for your users, you can manage all profile pictures for your account. Profile pictures are public and automatically approved when users upload an image in their settings. Using profile pictures can make it easier to see the users in your account and managing them gives you the ability to keep the pictures appropriate.
If Gravatars are enabled for an institution in account settings, and a user has a Gravatar but chooses not to upload a profile picture, the Gravatar will display for the user's profile picture.
If a student views another student's user details in a course and reports a profile picture as inappropriate, you can review those profile pictures and approve, lock, or delete the picture. In the courses, instructors can remove profile pictures completely from a user's details page.
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
Answer:
Priority programming is a process programming method based on priority. In this technique, the developer chooses the tasks to work according to priority, which is different from other types of programming, for example, a simple round-robin.
On UNIX and many other systems, higher priority values represent lower priority processes. Some of the systems, such as Windows, use the opposite convention: a higher number means a higher priority
<h3>Explanation:
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Priorities can be dynamic or static. Static priorities are assigned during creation, while dynamic priorities are assigned according to the behavior of the processes while they are in the system. To illustrate, the planner could favor intensive input / output (I / O) tasks, allowing expensive requests to be issued as soon as possible.
Priorities can be defined internally or externally. Internally defined priorities make use of a measurable amount to calculate the priority of a given process. On the contrary, external priorities are defined using criteria beyond the operating system (OS), which may include the importance of the process, the type and sum of the resources used for the use of the computer, user preferences , trade and other factors such as politics etc.
i hope this is right lol
That it is a tool that does its job well, it's a technology that works.
