Historical data is examined for patterns that are then used to make predictions is one of the analysis methods that describe neural computing
What is neural computing?
A neural network is an artificial intelligence technique that instructs computers to analyze data in a manner modeled after the human brain. It is a kind of artificial intelligence technique known as deep learning that makes use of interconnected neurons or nodes in a layered structure to mimic the human brain.
Historical data is nothing but the existing network data which is stored for the predicting in future
In the context of neural networks, the word "pattern" refers to a collection of activations over a group of units (neurons).
Hence to conclude neural netwoks almost describes the patterns
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Answer:
The constant here is the study outline
Explanation:
In scientific research, the constant variable is that part/variable of the experiment that does not change or is set not to change. Examples include temperature, environment or height.
Assuming the scenery described in this question is an experiment. All the groups presented are bound by a constant during the experiment. The constant here is the study outline. The study outline provided to the students is not going to change.
NOTE: There could be confusion as regards the answer being the final exam grade but that will be the dependent variable as that will be the outcome of the experiment while the time spent to study will be the independent variable.
Answer:
100 cm
Explanation:
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Answer:
The split is given by including spaces in both tabs
Explanation:
The bracket notation can be used to indicate the split. Here is an example:
String [ ] parts = s. split ( "[/]")
Answer:
It's an intoduction to hacking and systematic programming.
Explanation:
Yes, you might be able to grasp a few things from it, but it also may be a way hackers could hack you, by luring you to click it.
