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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>
Answer:
A. To set the primary contact on an account record when it is saved
Explanation:
After updating a Contact and then you set the Primary checkbox, the contact becomes the primary contact and this then updates the reference in the Parent Account. Triggers are used for this purpose and not workflow rule. In this case there is only one contact at a time that is set as Primary Contacts, and in the case where an Account does not have any Contacts, the first contact that is created is made the primary and the trigger sets that value in reference.
Answer:
yes
Explanation:
yes because they already have them for old gun ships (which they still use) and they have made cars with them and more including bombing situations IED detinators they used in Afghanistan and in Iraq in 2011.
