Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Mmm what are u talking abouy
That is false. are you doing it on a computer course. <span />
<span>Black sockets should be used, but the color is not the reason why. Chrome sockets will cause splits to form in the socket walls pretty quickly, after only a few uses. But the black sockets are that color because they have gone through a process called Parkerizing that coats the surface of the socket in order to provide more resistance when being used and protect the socket against corrosion.</span>
Answer:
Explanation:
Saas refers to software as a service and can also be called software on demand .
It Isa software that is deployed over the internet rather than requiring to install an application .It offers different devices such as pay as you go , subscription model and service on demand model .
Only a compatible browser is needed to access the software .
Electronic packages or components that aree offered as an Saas
1)Shopify
2)Big commerce
3)Slack
