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you can use ml to predict house prices

Deep Learning is a new term for traditional

Deep Learning models can automatically extract features from data.

Deep Learning is a subset of Machine Learning.

All Machine Learning models require neural networks.

machine learning requires handcoded rules for all situations

Ml model cannot improve over time with more data

Supervised learning is a type of Machine Learning.

Ai can be rule-base, learning base or both

Machine Learning is a broader concept than Artificial intelligence.

Deep Learning models use layered neural networks to learn patterns.

deep learning is suitable for small dataset

ai system are capable of planning and reasoning

Machine Learning can be used for spam detection.

Machine Learning is not capable of making predictions.

Deep Learning is often used for speech and imagr recognition

artificial intelligence cannot be used in language transition

machine learning include techniques like decision trees and clustering

Deep Learning models usually require large amount of data.

AI systems cannot operate without human intervention.

AI is limited to tasks that involve learning from data.

All AI systems must use Machine Learning.

Image recognition is typically handled by Deep Learning models.

AI, ML,DL ARE THREE SEPARATE AND UNRELATED FIELDS

deep learning does not use back propagation

Artificial intelligence includes Machine Learning and Deep Learning.

Neural networks are only used in Artificial intelligence.

deep learning models are harder to interpret than traditional ML models

AI only refers to robots and physical machines.

A rule based chatbot is an example of AI.