Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Mode

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Mode

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial introduces scalar and vector models in machine learning, focusing on the training process. It explains how to find the best parameters for a model using supervised learning. An example is provided with an exercise to determine the optimal parameter settings for a given input and target output.

Read more

5 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the relationship between training data and the function type in supervised learning?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the significance of finding the best settings W in a linear model.

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of training in machine learning?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the process of training and how it relates to the parameters of a model.

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

Given an input vector, how would you determine the values of W1 and W2 to achieve a specific output?

Evaluate responses using AI:

OFF