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In this video on probability and statisics for data science and ai, we will dive into essential concepts such as probability distributions, Bayes' theorem, hypothesis testing, and regression analysis. Learn how to apply these principles to real-world data sets, enhancing your ability to make data-driven decisions. Whether you're a beginner or looking to solidify your knowledge, this video breaks down complex topics into easy-to-understand segments, providing practical examples and hands-on exercises. Join us to master the statistical foundation crucial for a successful career in Data Science and AI.
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21:11 Measures Of Relationship
34:53 Conditional probability
36:43 Bayes Theorem
41:02 Gausian Distribution
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