AI Project cycle

Front

What is Artificial Intelligence (AI)?

Back

AI refers to any technique that enables computers to mimic human intelligence.

Front

What does Machine Learning (ML) enable machines to do?

Back

ML enables machines to improve at tasks with experience.

Front

How does Deep Learning (DL) differ from Machine Learning (ML)?

Back

DL enables software to train itself to perform tasks with vast amounts of data, making it the most advanced form of AI.

Front

What is the relationship between AI, ML, and DL?

Back

AI is the umbrella term that covers both ML and DL, with ML being an intermediate form and DL being the most advanced.

Front

What is AI Modelling?

Back

AI Modelling refers to developing algorithms that can be trained to get intelligent outputs.

Front

What is a Rule Based Approach in AI modelling?

Back

A Rule Based Approach refers to AI modelling where the relationship or patterns in data are defined by the developer.

Front

What is a Learning Based Approach in AI modelling?

Back

A Learning Based Approach is where random data is fed to the machine, allowing it to figure out patterns and trends on its own.

Front

What is the purpose of the Evaluation stage in the AI project cycle?

Back

The Evaluation stage is to understand the reliability of any AI model based on outputs by comparing predictions with actual results.

Front

What are True Positive and True Negative in model evaluation?

Back

True Positive occurs when the model correctly predicts a positive outcome, while True Negative occurs when it correctly predicts a negative outcome.

Front

What are False Positive and False Negative in model evaluation?

Back

False Positive occurs when the model incorrectly predicts a positive outcome, while False Negative occurs when it incorrectly predicts a negative outcome.