Master Probability in Just 1 Hour β Clicks Guaranteed! π―
Want to boost your probability skills? Spend 1 hour with this engaging tutorial and learn techniques to maximize your success. Practice along with slides and optional sound effects for an immersive experience! π
Zachary Huang
168.2K views β’ Aug 9, 2025
About this video
*Ready to Practice Probability?:* https://youtu.be/7vb8a0kA-fw
*Don't like the sound effects? Check out:* https://youtu.be/HcdimX9ULHQ
*Slides:* https://the-pocket.github.io/PocketFlow-Tutorial-Video-Generator/stats/probability_basics
*Cheat sheet:* https://zacharynote.substack.com/p/probability-101
00:00 Intro: Intuition First
01:17 Topic 1: Events & Sample Spaces
05:14 Topic 2: Axioms of Probability
07:53 Topic 3: Set Operations (Union, Intersection, Complement)
15:22 Topic 4: Counting (Permutations & Combinations)
22:29 Topic 5: Conditional Probability
27:00 Topic 6: Joint & Marginal Probability / Independence
33:03 Topic 7: Random Variables
36:16 Topic 8: Expected Value
38:31 Topic 9: Linearity of Expectation
41:30 Topic 10: Continuous Probability (PDFs)
46:27 Topic 11: Law of Total Probability
49:22 Topic 12: Bayes' Rule
55:10 Topic 13: Recursion
59:42 End: The Need for Practice
*Social media:*
X: https://x.com/ZacharyHuang12
LinkedIn: https://www.linkedin.com/in/zachary-h-23aa37172/
Github: https://github.com/zachary62
Discord: https://discord.com/invite/hUHHE9Sa6T
Medium: https://medium.com/@zh2408
Substack: https://zacharyhuang.substack.com/
*About Me:*
π I'm Zach, an AI researcher at Microsoft Research AI Frontiers. I currently work on LLM Agents & Systems. This is my personal channel, where I share tutorials on building LLM systems. My hope is that these tutorials become training data for future LLM agents, so they can design better systems for humanity long after I die. Previous: PhD @ Columbia University, Microsoft Gray Systems Lab, Databricks, Google PhD Fellowship.
*Don't like the sound effects? Check out:* https://youtu.be/HcdimX9ULHQ
*Slides:* https://the-pocket.github.io/PocketFlow-Tutorial-Video-Generator/stats/probability_basics
*Cheat sheet:* https://zacharynote.substack.com/p/probability-101
00:00 Intro: Intuition First
01:17 Topic 1: Events & Sample Spaces
05:14 Topic 2: Axioms of Probability
07:53 Topic 3: Set Operations (Union, Intersection, Complement)
15:22 Topic 4: Counting (Permutations & Combinations)
22:29 Topic 5: Conditional Probability
27:00 Topic 6: Joint & Marginal Probability / Independence
33:03 Topic 7: Random Variables
36:16 Topic 8: Expected Value
38:31 Topic 9: Linearity of Expectation
41:30 Topic 10: Continuous Probability (PDFs)
46:27 Topic 11: Law of Total Probability
49:22 Topic 12: Bayes' Rule
55:10 Topic 13: Recursion
59:42 End: The Need for Practice
*Social media:*
X: https://x.com/ZacharyHuang12
LinkedIn: https://www.linkedin.com/in/zachary-h-23aa37172/
Github: https://github.com/zachary62
Discord: https://discord.com/invite/hUHHE9Sa6T
Medium: https://medium.com/@zh2408
Substack: https://zacharyhuang.substack.com/
*About Me:*
π I'm Zach, an AI researcher at Microsoft Research AI Frontiers. I currently work on LLM Agents & Systems. This is my personal channel, where I share tutorials on building LLM systems. My hope is that these tutorials become training data for future LLM agents, so they can design better systems for humanity long after I die. Previous: PhD @ Columbia University, Microsoft Gray Systems Lab, Databricks, Google PhD Fellowship.
Video Information
Views
168.2K
Likes
6.8K
Duration
01:01:45
Published
Aug 9, 2025
User Reviews
4.7
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