Machine Learning :classification and evaluation

At the end of this learning unit, the student is able to :

• understand and apply standard techniques to build computer programs that automatically improve with experience, especially for classification problems
• assess the quality of a learned model for a given task
• assess the relative performance of several learning algorithms
• justify the use of a particular learning algorithm given the nature of the data, the learning problem and a relevant performance measure
• use, adapt and extend learning software

• use the technical documentation to make efficient use of existing packages,
• communicate test results in a short report using graphics.