课程: Machine Learning Foundations: Probability

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Discrete probability distribution

Discrete probability distribution - Python教程

课程: Machine Learning Foundations: Probability

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Discrete probability distribution

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- [Instructor] Understanding and knowing when and how to apply probability distribution is critical in data analysis, decision making and modeling. Discrete probability distributions play a crucial role in applied ML and there are a few distributions that you must know about. Some examples of discrete probability distribution applications are modeling binary classification problems. For example, spam or not spam or fraud, or not fraud, and multi-class classification problems. For example, handwritten digit recognition from zero to nine. Evaluating the performance for the binary classification models and for choosing the activation function used in the output layer of the deep learning neural networks. While exploring the basic examples of probability, we have seen one of the most common discrete distributions called uniform distribution. The examples were flipping a coin and rolling a dye. In case when we…

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