课程: Machine Learning Foundations: Probability

Probability for machine learning - Python教程

课程: Machine Learning Foundations: Probability

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Probability for machine learning

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- Do you work with machine learning models? If so, you know that machine learning models are based on estimation and approximation, which are the core probability. Using probability, we can handle uncertainty, such as noisy data, incomplete coverage of the problem domain, and imperfect ML models. Hi, I'm Terezija Semenski. I'm a software developer, mathematician, and a teacher with a passion for AI and machine learning. Join me as we dive into basic concepts of probability, different types of probability, discrete and continuous distribution, base CRM, how to calculate them and its applications in ML.

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