1.6 - Some Simple Words to Know
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is a model in Machine Learning?
💡 Hint: Think about what learns in the ML process.
Define input in the context of Machine Learning.
💡 Hint: What do we provide to the model?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the term 'Model' refer to in Machine Learning?
💡 Hint: Consider what part of ML reflects learning from data.
True or False: 'Input' refers to the results that a model gives after processing data.
💡 Hint: Which part represents data given to the model?
1 more question available
Challenge Problems
Push your limits with advanced challenges
Create a simple dataset with at least five examples of input-output pairs related to studying hours and marks. Then, describe how you would process this data for training a model.
💡 Hint: Think about how to separate the hours from marks.
Discuss how different sources of input data can influence the output of a model, using an example from real life.
💡 Hint: Which factors can change the reliability of your output?
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.