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 term that best fit the blank is RELEVANCE. The Google Adwords system is a system that is created by Google for the purpose of advertising online. Therefore, relevance is very important in this aspect as this shows how useful the ad is to the consumers who are doing the google search.
16/17 can't be simplified but if you want it as a decimal it's 0.9412 or 0.94
Answer:
Es importante aprender a programar, por que es el mismo de que alguen aregle su carro. En estos tiempos, la technolagia se ha convertido en la nueva normal. Va vinir el tiempo quando nosotros necesitamos que arreglar un linia de codigo en nuestras computadoras, y no esta necesario para pagar alguen que ellos lo agan. Como quando necesitas que poner una llanta nueva a tu carro. Tu lo puedes cambiar solo. Entonses como el ejemplo del carro, tu puedes arreglar el linia de codigo en la computadora sin pagar alguen por acerlo.
