Linear Regression - Key Tool in Data Analysis

⏭️ 𝘾𝙤𝙣𝙣𝙚𝙘𝙩 𝙬𝙞𝙩𝙝 𝙪𝙨 𝙤𝙣 𝙋𝘼𝙏𝙍𝙀𝙊𝙉
https://www.patreon.com/socratica

Linear Regression is one of the most widely used tools in applied math and data analysis. It helps us make sense of noisy data by finding the best-fit line—the line that comes closest to all of our data points without favoring any single one. In this video, we’ll explore what “best” really means, how we measure and minimize errors, and how calculus leads us to the formulas for slope and intercept.

Along the way, we’ll work through examples by hand, then apply the method to real-world data from AI systems. You’ll also see when linear regression fails and why inspecting your data is a crucial step. By the end, you’ll have a deep understanding of how linear regression works, and when it’s the right tool for the job.

⏭️ 𝙔𝙤𝙪 𝙘𝙖𝙣 𝙟𝙪𝙢𝙥 𝙩𝙤 𝙨𝙚𝙘𝙩𝙞𝙤𝙣𝙨 𝙤𝙛 𝙩𝙝𝙚 𝙫𝙞𝙙𝙚𝙤 𝙝𝙚𝙧𝙚:
0:00 – Introduction to Linear Regression
0:39 – Why regression is needed
1:18 – Measuring error and least squares
2:19 – Calculating squared errors
3:16 – Minimizing error with calculus
4:22 – General formulas for slope & intercept
5:40 – Real-world AI example (prompt length vs. time)
7:07 – When linear regression fails (Inspect your Data!)

▶️ 𝙒𝘼𝙏𝘾𝙃 𝙉𝙀𝙓𝙏:
Covariance https://youtu.be/ATfDsdlze3E

𝘽𝙚𝙘𝙤𝙢𝙚 𝙤𝙪𝙧 𝙋𝙖𝙩𝙧𝙤𝙣 𝙤𝙣 𝙋𝙖𝙩𝙧𝙚𝙤𝙣:
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📚 𝙒𝙚 𝙧𝙚𝙘𝙤𝙢𝙢𝙚𝙣𝙙 (affiliate links):
The Drunkard's Walk: How Randomness Rules Our Lives by Leonard Mlodinow
https://amzn.to/4j9n0YP

The Art of Statistics: How to Learn from Data by David Spiegelhalter
https://amzn.to/3S9E46a

How to Be a Great Student (from Socratica!)
ebook: https://amzn.to/2Lh3XSP
paperback: https://amzn.to/3t5jeH3

🎬 𝘾𝙍𝙀𝘿𝙄𝙏𝙎:
Written & Produced by: Michael Harrison & Kimberly Hatch Harrison
Edited by: Alivia Brown and Megi Shuke
Music License from Soundstripe
Code: 6F6NQWRP2DBJBIQZ

🎓 𝘼𝘽𝙊𝙐𝙏 𝙊𝙐𝙍 𝙄𝙉𝙎𝙏𝙍𝙐𝘾𝙏𝙊𝙍𝙎:
Michael earned his BS in Math from Caltech, and did his graduate work in Math at UC Berkeley and University of Washington, specializing in Number Theory. A self-taught programmer, Michael taught both Math and Computer Programming at the college level. He applied this knowledge as a financial analyst (quant) and as a programmer at Google.

Kimberly earned her BS in Biology and another BS in English at Caltech. She did her graduate work in Molecular Biology at Princeton, specializing in Immunology and Neurobiology. Kimberly spent 16+ years as a research scientist and a dozen years as a biology and chemistry instructor.

Michael and Kimberly Harrison co-founded Socratica.
Their mission? To create the education of the future.

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#LinearRegression #math #bestfitline

Видео Linear Regression - Key Tool in Data Analysis канала Socratica