SlideShare a Scribd company logo
Establish house rules
that are justified.
KEY COMPONENTS OF
ARTIFICIAL INTELLIGENCE
DATA:
The foundation of AI is vast
datasets that are essential for
training machine learning
models.
MACHINE LEARNING
ALGORITHMS:
These enable AI systems to
learn and make predictions
based on data.
Mimicking the human brain,
these deep learning
structures power AI's
decision-making.
NEURAL NETWORKS:
NLP:
NLP helps AI understand
and generate human
language.
COMPUTER VISION:
Allows AI to interpret and
process visual information,
which is vital for tasks like
image recognition.
ROBOTICS:
Integrating AI into physical
systems, robotics enable
autonomous actions.

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Key Components of Artificial Intelligence.pdf

  • 1. Establish house rules that are justified. KEY COMPONENTS OF ARTIFICIAL INTELLIGENCE DATA: The foundation of AI is vast datasets that are essential for training machine learning models. MACHINE LEARNING ALGORITHMS: These enable AI systems to learn and make predictions based on data. Mimicking the human brain, these deep learning structures power AI's decision-making. NEURAL NETWORKS: NLP: NLP helps AI understand and generate human language. COMPUTER VISION: Allows AI to interpret and process visual information, which is vital for tasks like image recognition. ROBOTICS: Integrating AI into physical systems, robotics enable autonomous actions.