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AN ML on C

Por: Justin Michael

AN ML on C

31 episodios disponibles

Latest episodes of the podcast AN ML on C

6.7 - Logistic Regression | MultiClass Classification OneVsAll 19/01/2020

Lecture 6.6 - Logistic Regression | Advanced Optimization 19/01/2020

6.5 - Logistic Regression | Simplified Cost Function And Gradient Descent 19/01/2020

6.4 - Logistic Regression | Cost Function 19/01/2020

6.3 - Logistic Regression | Decision Boundary 19/01/2020

6.2 - Logistic Regression | Hypothesis Representation 19/01/2020

6.1 - Logistic Regression | Classification 19/01/2020

4.7 - Linear Regression With Multiple Variables | Normal Equation Non Invertibility 19/01/2020

4.6 - Linear Regression With Multiple Variables | Normal Equation 19/01/2020

4.5 - Linear Regression With Multiple Variables | Features And Polynomial Regression 19/01/2020

4.4 - Linear Regression With Multiple Variables | Gradient In PracticeaI | Learning Rate 19/01/2020

4.3 - Linear Regression With Multiple Variables | Gradient In PracticaI Feature Scaling 19/01/2020

4.2 - Linear Regression With Multiple Variables -- (Gradient Descent For Multiple Variables) 19/01/2020

4.1 - Linear Regression With Multiple Variables - (Multiple Features) 19/01/2020

3.6 - Linear Algebra Review | Inverse And Transpose 19/01/2020

Lecture 3.5 - Linear Algebra Review | Matrix Multiplication Properties 19/01/2020

Lecture 3.4 - Linear Algebra Review | Matrix-Matrix Multiplication 19/01/2020

Lecture 3.3 - Linear Algebra Review | Matrix Vector Multiplication 19/01/2020

Lecture 3.2 - Linear Algebra Review | Addition And Scalar Multiplication 19/01/2020

Lecture 3.1 - Linear Algebra Review | Matrices And Vectors 19/01/2020

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