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: C. Semantic Search Engines
Explanation:
Semantic search is simply search with meaning. It is designed to locate information based on the nature and meaning of Web content, not simple keyword matches (like in lexical searches)
If it stores any type of objects mixed, use Object as storage class. All classes inherit from Object and for primitives use their respective wrapper classes. Or just use one of the bazillion container classes that already exist.
Well most word processing softwares allow you to do many things to a document, if you use google documents or microsoft word i'm pretty sure you can do all of those things
Coding works through programming/programs. Programs have different coding languages, and text files. The code within the file is known as the "source CODE" this code is used in different ways, causing for the possibility of separate binary files that computers can directly run. Hope I helped.
