📊 Master Probability & Statistics for Data Science & AI!
Welcome to this in-depth tutorial on Probability and Statistics – essential foundations for mastering machine learning, deep learning, and data science. Whether you’re a beginner or brushing up for interviews or exams, this video breaks down complex topics in a clear, easy-to-understand way.
🎓 Topics Covered:
0:00 Introduction to Probability
1:22:01 Probability Distributions
2:25:14 Describing Distributions
3:44:04 Probability Distributions with Multiple Variables
4:40:04 Population and Sample
5:17:02 Point Estimation
6:19:28 Confidence Intervals
7:05:17 Hypothesis Testing
Resources link – https://github.com/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
👨💻 Learn how these concepts apply directly to modern machine learning and deep learning projects. From sampling theory to inferential statistics, this guide connects the theory with real-world applications in data science.
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