Best Free Courses For Machine Learning

Here are some popular providers of free machine learning courses along with the subtopics they cover:

1. Coursera:

• Machine Learning by Andrew Ng (Stanford University)
  • Introduction to Machine Learning
  • Linear Regression with One Variable
  • Linear Algebra Review
  • Linear Regression with Multiple Variables
  • Octave/Matlab Tutorial
  • Logistic Regression
  • Regularization
  • Neural Networks: Representation
  • Neural Networks: Learning
  • Advice for Applying Machine Learning
  • Machine Learning System Design
  • Support Vector Machines
  • Unsupervised Learning
  • Dimensionality Reduction
  • Anomaly Detection
  • Recommender Systems
  • Large Scale Machine Learning
  • Application Example: Photo OCR

2. Udemy:

• Machine Learning A-Z™: Hands-On Python & R In Data Science
  • Introduction to Machine Learning
  • Data Preprocessing
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • SVM
  • K-NN
  • Decision Tree Classification
  • Random Forest Classification
  • Logistic Regression
  • K-Means Clustering
  • Hierarchical Clustering
  • PCA
  • LDA
  • XGBoost
  • Model Selection & Boosting

3. edX:

• Introduction to Artificial Intelligence (AI) (Microsoft)
  • What is Artificial Intelligence
  • AI Ethics and Safety
  • Machine Learning
  • Neural Networks
  • Deep Learning
  • Transfer Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Robotics and Motion Planning
  • Reinforcement Learning
  • AI in Business and Society

4. Codecademy:

• Machine Learning Fundamentals in Python
  • Introduction to Machine Learning
  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbours
  • Decision Trees
  • Random Forests
  • Support Vector Machines
  • Neural Networks
  • K-Means Clustering
  • Principal Component Analysis

These are some of the best free courses available online, they cover a wide range of topics and provide a good foundation in machine learning. If you require a list of useful books then check our page of related books here.