TensorFlow and Pytorch are examples of Supervised Machine Learning (ML), in addition, both support Artificial Neural Network (ANN) models.
<h3>What is a Supervised Machine Learning?</h3>
Machine learning (ML) is a subcategory of artificial intelligence that refers to the process by which computers develop pattern recognition or the ability to continually learn or make predictions based on data, and then make adjustments without being specifically programmed to do so.
In the supervised machine learning, the computer is given a labeled dataset that allows it to learn how a human does a task. This is the least complex model as it attempts to replicate human learning.
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Answer:
Technician B says that it indicates an empty system, the bubbles being caused by vapor left in the system.
Explanation:
Bubbles mean that the R-12 system is low in charge or an empty system, and the bubbles being caused by the vapor which is left in the system. The bubbles are the indication of low charge or an empty system. And hence, here Technician B seems to be the correct person, and hence the correct choice here is Technician B.
Answer:
A fossil is any preserved remains, impression, or trace of any once-living thing from a past geological age. Examples include bones, shells, exoskeletons, stone imprints of animals or microbes, objects preserved in amber, hair, petrified wood, oil, coal, and DNA remnants
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Answer:As cyber attacks evolve, network security requires unparalleled visibility and intelligence covering all threats for comprehensive protection. And with differing organizational responsibilities and agendas, you need a consistent security enforcement mechanism. These increasing operational demands call for a renewed focus on dedicated NGIPS to provide a deeper level of security and visibility for the enterprise.
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