Distribution of θ (Parameter Distribution) in ML
 Python Automation and Machine Learning for ICs   An Online Book  

Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/  


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================================================================================= In machine learning and statistics, the terms "distribution of θ" and "parameter distribution" can be related but often refer to slightly different concepts:
In Bayesian statistics, the distribution of θ is explicitly treated as a parameter distribution. In Bayesian machine learning, the parameters are not treated as fixed values but are assumed to be random variables with a prior distribution that represents our initial beliefs about their values. As new data is observed, this prior distribution is updated to a posterior distribution, which reflects our updated beliefs about the parameters. This leads to a distribution of possible parameter values rather than a single point estimate. ============================================


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