Probability Statistics - The Foundations of Machine Learning - Continuous Distributions with the Help of an Example

The video tutorial explores continuous random variables, highlighting the challenges of infinite precision in probability calculations. It introduces the concept of likelihood as an alternative to probability for continuous variables. The tutorial explains the properties of likelihood functions and their integration to derive probabilities over ranges. It covers uniform continuous distribution and delves into normal distribution, including the standard normal distribution, emphasizing their significance in real-world data analysis.

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