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Probability Theory
Probability Theory Table Of Contents: Probability Of ‘A’ and ‘B’ Happening Together. Probability Of ‘A’ Given ‘B’ has already Happened. (1) Probability Of ‘A’ and ‘B’ Happening Together. P(A∩B)=P(A)×P(B) for an independent event if there is no relationship between a and b how we are multiplying there individual probability As here we are considering two events we need to consider all possible outcomes for both the events. For rolling two dies together we will have 36 number of outcomes. For tossing two coins together we will hae 4 possible outcomes. (2) Probability Of ‘A’ Given ‘B’ Has Already Happened. (3)
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Parametric & Non Parametric Models
Parametric Vs Non Parametric Models Table Of Contents: Parametric Models Key Characteristics Examples Advantages Disadvantages Non Parametric Models Key Characteristics Examples Advantages Disadvantages Parametric Model: A parametric model assumes a specific functional form for the relationship between the input features and the output. These models have a fixed number of parameters that are determined during the training process. Key Features – Parametric Model Examples – Parametric Model Advantages & Disadvantages – Parametric Model Non – Parametric Model: A non-parametric model makes no strong assumptions about the form of the mapping function. Instead, it learns the structure directly from the data,
