Machine learning Basics

5.1 Learning Algorithm

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5.2 Capacity, Overfitting, Underfitting

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5.3 Hyper-Parameters and Validation Set

5.7 Supervised Learning

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5.8 Unsupervised Learning

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5.9 Stocastic Gradient Decent

5.10 Building a Machine Learning Algo

5.11 Challenges Motivating Deeplearning