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Notes from course: Supervised Machine Learning: Regression and Classification by DeepLearning.AI & Stanford University

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Supervised Machine Learning: Regression and Classification

by DeepLearning.AI & Stanford University

Week 1: Introduction to Machine Learning

Overview of Machine Learning

  • Welcome to Machine Learning!
  • Application of Machine Learning

Supervised vs. Unsupervised Machine Learning

  • What is Machine Learning?
  • Supervised Learning - part 1
  • Supervised Learning - part 2
  • Unsupervised Learning - part 1
  • Unsupervised Learning - part 2
  • Jupyter Notebooks
  • Python and Jupyter Notebooks

Practice Quiz: Supervised vs. Unsupervised Learning

Regression Model

  • Linear Regression Model - part 1
  • Linear Regression Model - part 2
  • Optional lab: Model representation
  • Cost function formula
  • Cost function intuition
  • Visualizing the cost function
  • Visualization examples
  • Optional lab: Cost Function

Practice Quiz: Regression Model

Train the Model with Gradient Descent

  • Gradient Descent
  • Implementing gradient descent
  • Gradient Descent intuition
  • Learning rate
  • Gradient Descent for Linear Regression
  • Running Gradient Descent
  • Optional lab: Gradient Descent

Practice Quiz: Train the Model with Gradient Descent

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Notes from course: Supervised Machine Learning: Regression and Classification by DeepLearning.AI & Stanford University

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