Machine Learning Stanford Online

Machine Learning Stanford course is a broad introduction to machine learning, datamining, and statistical pattern recognition. The course also includes numerous case studies and applications for building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio and database mining. Course is offered by DeepLearning.AI on Coursera.

Instructor: Andrew Ng

Coursework

• Supervised learning
  • Linear Regression
  • Gradient Descent
  • Cost Function

Lectures

• Week 1-Introduction to Machine Learning
  • Machine Learning Introduction
  • Supervised learning
  • Unsupervised Learning
  • Linear Regression with One Variable
  • Gradient Descent
  • Cost Function
• Week 2-Neural Networks Basics
• Week 3-Shallow Neural Networks
• Week 4-Deep Neural Networks

Assignment

• Week 2-Programming Assignment Python Basics with numpy
• Week 2-Programming Assignment Logistic Regression with a Neural Network mindset
• Week 3-Programming Assignment Planar data classification
• Week 4-Programming Assignment Building your deep neural network Step by Step
• Week 4-Programming Assignment Deep Neural Network Application

Quizes

• Week 1-Introduction to deep learning
• Week 2-Neural Network Basics
• Week 3-Shallow Neural Networks
• Week 4-Key concepts on Deep Neural Networks

Grades

Certificate