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Deriving SVM Step by Step

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Yuan Yin

I will present how to derive the algorithm of Support Vector Machine(SVM) from intuition. I will NOT present how to solve the optimization problem from SVM. A high school/freshman year linear algebra course should be enough to understand the derivation.

posted by fridolcv

Mathematics of SVM | Support Vector Machines | Hard margin SVM

Mathematics of SVM | Support Vector Machines | Hard margin SVM

AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg

AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg

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Vectors & Dot Product • Math for Game Devs [Part 1]

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Principal Component Analysis (PCA)

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Water powered timers hidden in public restrooms

The moment we stopped understanding AI [AlexNet]

The moment we stopped understanding AI [AlexNet]

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Decision Tree Regression Clearly Explained!

Linear subspaces | Vectors and spaces | Linear Algebra | Khan Academy

Linear subspaces | Vectors and spaces | Linear Algebra | Khan Academy

Derivative of a Matrix : Data Science Basics

Derivative of a Matrix : Data Science Basics

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All Learning Algorithms Explained in 14 Minutes

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What's a Tensor?

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XGBoost in Python from Start to Finish

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Day 30 of studying deep learning until its enough (Quantized Weights/activations)

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Essential Nikola Tesla Lecture from 1891

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Time Series and Forecasting in R Programming [Video1] | Statistics Explained

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Logistic Regression in R, Clearly Explained!!!!

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But what is a partial differential equation? | DE2

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3 MustKnow Reasons to Use Encompass® Web Now – Don't Miss Out!

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