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GitHub Repository: jxareas/Machine-Learning-Notebooks
Path: blob/master/1_Supervised_Machine_Learning/Week 1. Introduction to Machine Learning/_Learning Objectives.md
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Week 1: Introduction to Machine Learning

Welcome to the Machine Learning Specialization! You're joining millions of others who have taken either this or the original course, which led to the founding of Coursera, and has helped millions of other learners, like you, take a look at the exciting world of machine learning!

Learning Objectives

  • Define machine learning

  • Define supervised learning

  • Define unsupervised learning

  • Write and run Python code in Jupyter Notebooks

  • Define a regression model

  • Implement and visualize a cost function

  • Implement gradient descent

  • Optimize a regression model using gradient descent

Overview of Machine Learning

Welcome to machine learning! - Video • Duration: 2 min

Applications of machine learning - Video • Duration: 4 min

[IMPORTANT] Have questions, issues or ideas? Join our Community! - Ungraded External Tool • Duration: 20 min

Supervised vs Unsupervised Machine Learning

What is machine learning? - Video • Duration: 5 min

Supervised learning part 1 - Video • Duration: 6 min

Supervised learning part 2 - Video • Duration: 7 min

Unsupervised learning part 1 - Video • Duration: 8 min

Unsupervised learning part 2 - Video • Duration: 3 min

Jupyter Notebooks - Video • Duration: 4 min

Python and Jupyter Notebooks - Lab • Duration: 1 h

Practice Quiz: Supervised vs Unsupervised Machine Learning

Practice quiz: Supervised vs unsupervised learning

Regression Model

Linear regression model part 1 - Video • Duration: 10 min

Linear regression model part 2 - Video • Duration: 6 min

Optional lab: Model representation - Lab • Duration: 1 h

Cost function formula - Video • Duration: 9 min

Cost function intuition - Video • Duration: 15 min

Visualizing the cost function - Video • Duration: 8 min

Visualization examples - Video • Duration: 6 min

Optional lab: Cost function - Lab • Duration: 1 h

Practice Quiz: Regression

Practice quiz: Regression

Train the model with gradient descent

Gradient descent - Video • Duration: 8 min

Implementing gradient descent - Video • Duration: 9 min

Gradient descent intuition - Video • Duration: 7 min

Learning rate - Video • Duration: 9 min

Gradient descent for linear regression - Video • Duration: 6 min

Running gradient descent - Video • Duration: 5 min

Optional lab: Gradient descent - Lab • Duration: 1 h

Practice quiz: Train the model with gradient descent

Practice quiz: Train the model with gradient descent