Shrimpo Notes
Welcome to Shrimpo's notes! I am a rising senior (shrimp) majored at Statistics and Machine Learning. And I am passionate about making programs smarter than me. I love to explain concepts in ML & NLP in a straight forward way with no (very little) math while making them aesthetically pleasing to view!
My notes are different from plain exams & hw and I know you'll love them:)
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5 items
Bundle of Intro to ML
notes of first half of the semester
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- • 3 items •
- Support Vector Machines Concepts • Summary
- 10701 summary02 • Summary
- Sample Complexity • Summary
notes of first half of the semester
Sample Complexity
Bound true error by training error
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- Summary
- • 7 pages •
Bound true error by training error
10701 summary02
Ridge & Lasso in SVM explained
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- Summary
- • 5 pages •
Support Vector Machines Concepts
Including detailed explanation of Ridge & Lasso Regularization
- Package deal
- Summary
- • 5 pages •
Including detailed explanation of Ridge & Lasso Regularization
10701 key concepts 01
FREE NOTES: ONLY HAVE 2 PAGES! Quick review of key concepts in NLP This is a FREE SAMPLE NOTES for you to get an idea of what you'll received in my other notes. It only has 2 pages so you can view it for FREE!
- Summary
- • 11 pages •
FREE NOTES: ONLY HAVE 2 PAGES! Quick review of key concepts in NLP This is a FREE SAMPLE NOTES for you to get an idea of what you'll received in my other notes. It only has 2 pages so you can view it for FREE!