Answer:
The answer is True
Explanation:
Switches are responsible for connecting computers within a network and it belongs only to its local network. Its responsibility is to filter and forward packets between LAN segments. They operate on layer two (2) and sometime layer three (3) of the OSI Model.
Routers on the other hand, are responsible for the interconnections of two or more networks. They forward data packets between networks. They reside at gateways, exactly where two or more networks connects. And they use communication protocols to effectively and efficiently communicate among two or more host.
<span>All of the following are parts of the word processing window except for the button esc ____.</span>
Answer:
17 países.
Explicación:
Hay diecisiete países que tienen vehículos aéreos no tripulados armados y donde se ha implementado un sistema de vigilancia con drones. Los drones son excelentes para recopilar grandes cantidades de datos de imágenes. Se puede implementar fácilmente para la vigilancia y mantener la seguridad. Se puede conducir a través de la computadora, no del piloto en él, por lo que el piloto se guarda. Los aspectos negativos de los drones es que tienen tiempos de vuelo cortos y el clima puede afectar fácilmente a los drones. Las operaciones precisas son difíciles y también eliminan futuros trabajos.
Answer:
No, because it would be generally free for private-sector employees by using filtering software to restrict access to some websites.
Explanation:
Maria working for the following Corporation, a major private-owned company that specializes throughout ball bearings production. That corporation establishes filtering software to restrict access to some of these sites linked to non-work, and also some sites with poπnographic images.
So, Maria could not challenge that policy lawfully, as private-sector employees are usually free to always use filtering software to restrict access to some of these Websites
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.
