Probability and Statistics for Data Science & AI - Tutorial by Simplilearn

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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.

Below are the topics covered in this probability and statistics tutorial video:
00:00 Introduction to Probability And Statistics
02:31 Probability And Statistics
05:28 Descriptive Statistics
07:22 Measures of central tendency
16:31 Measures of Variability
21:11 Measures Of Relationship
34:53 Conditional probability
36:43 Bayes Theorem
41:02 Gausian Distribution

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