7.2 - Importance of Modelling in AI
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 modelling in AI?
💡 Hint: It involves using data to understand patterns.
Give one example of prediction using AI.
💡 Hint: Think about future outcomes based on past data.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does modelling enable in AI?
💡 Hint: It connects machine learning and data.
True or False: Models cannot predict outcomes.
💡 Hint: Recall what modelling allows machines to do.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a dataset of weather patterns, propose a simple model for predicting tomorrow's weather based on today's conditions.
💡 Hint: Identifying relevant features will aid your prediction.
Analyze a real-life scenario where inaccurate predictions from an AI model led to significant consequences.
💡 Hint: Reflect on the importance of data quality and model selection in predictions.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.