Answer:
first line, that is "The bandwidth of the school’s internet connection is lower than at home" is the correct answer.
Explanation:
The network school bandwidth, speed, and list of phones can all be considerations here. In school might have a network that does not allow high MBPS or via its ISP, it might have a low bandwidth plan. It based on the router's size, frequency, and link of the firewall and gaming network, the bandwidth may be lower.
- The Most probably, the device isn't the source but it acts in the match were caused by the link.
- If the school requires the server for transport broadband connections, the network can slow the process through pc specifications and link to either the network.
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
Answer: D) Oceanic
Explanation:
National oceanic and the atmospheric administration (NOAA)are the national weather services which basically provide the weathering conditions and forecast them on their particular websites.
NOAA is basically responsible for monitoring or environment and climate. this agency is situated in the united state at washington headquarter. It also helps to preserve the climate by taking some effective steps for our environment.
Answer:
Ronald will use a search engine
Explanation:
Ronald will use a search engine to find an image of a sports car, like he would do to search information to help him with his homeworks.
He could use keywords to identify some features he wants to see in the picture. For example "red sports car" or "Ferrari sports car". The results might come from a general Web spider fetch job or from specialized sites in terms of stock photos for example.
Then, Ronald will be able to see many images matching its request... and choose the one most appropriate for his needs.
