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
The answer is entrepreneurial and bureaucratic. Organizations
that are large and small can achieve higher sales and other profit by properly
matching their needs with the structure they use to operate. the structure of an organization can help or
hinder its progress toward accomplishing these goals and This are specific set
up of organizations and ways to accomplish different goals.
Step 1: Collection. The first step in the recycling process is always collecting the plastic material that is to be recycled. ...
Step 2: Sorting. ...
Step 3: Washing. ...
Step 4: Resizing. ...
Step 5: Identification and separation of plastics. ...
Step 6: Compounding.
