• 11 years ago

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1.2 Machine Learning What is Machine Learning
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4.6 Machine Learning Normal Equation
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1.4 Machine Learning Unsupervised Learning
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2.1 Machine Learning Model Representation
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1.3 Machine Learning Supervised Learning
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1.1 Machine Learning Welcome
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2.2 Machine Learning Cost Function
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3.1 Machine Learning Matrices and Vectors
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2.3 Machine Learning Cons Function - Intuition I
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2.5 Machine Learning Gradient Descent
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2.7 Machine Learning Gradient Descent For Linear Regression
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3.4 Machine Learning Matrix Matrix Multiplication
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2.8 Machine Learning What's Next
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3.5 Machine Learning Matrix Multiplication Properties
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3.3 Machine Learning Matrix Vector Multiplication
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3.2 Machine Learning Addition and Scalar Multiplication
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2.4 Machine Learning Cost FUnction - Intuition II
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4.4 Machine Learning Gradient Descent in Practice II - Learning Rate
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4.5 Machine Learning Features and Polynomial Regression
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4.1 Machine Learning Multiple Features
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4.2 Machine Learning Gradient Descent for Multiple Variable
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5.1 Machine Learning Basic Operations
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3.6 Machine Learning Inverse and Transpose
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4.7 Machine Learning Normail Equation Noninvertibility
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5.4 Machine Learning Plotting Data
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