Course Description |
Giving Computers the Ability to Learn from Data Building intelligent machines to transform data into knowledge. |
A Tour of Machine Learning Classifiers Using scikit-learn. |
Building Good Training Sets – Data Preprocessing. |
Solving interactive problems with reinforcement learning. |
Discovering hidden structures with unsupervised learning. |
A roadmap for building machine learning systems. |
Evaluating models and predicting unseen data instances. |
Artificial neurons – a brief glimpse into the early history of machine learning |
Implementing a perceptron learning algorithm in Python |
An object-oriented perceptron API, Training a perceptron model on the Iris dataset |
Adaptive linear neurons and the convergence of learning. |