How Do ML Models Utilize Probability Distributions For Decisions?

Описание: Ever wondered how machine learning models make their critical decisions? This video dives deep into the fundamental role probability distributions play in guiding AI, helping them understand uncertainty and choose the best path forward.

Discover the core principles of how ML models leverage probabilistic thinking:
► Understand how models interpret data by assigning probabilities to different outcomes.
► Learn about the common types of probability distributions used in machine learning, such as Gaussian or Bernoulli.
► Explore how these distributions quantify uncertainty, allowing models to make more robust and informed predictions.
► See how probabilistic frameworks enable models to assess the likelihood of various classifications or regressions.
► Grasp the concept of decision-making under uncertainty, a cornerstone of advanced AI applications.


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