Pedagogical strategies

How you are going to work in supervised learning models The four steps of the standard process of building models that we consider are: Data preparation, data exploration, model training, model evaluation.

Hands-on resources for each step:

• 2 videos dedicated to each step of the standard process: One video with a general explanation of the main actions due in that step; one with a detailed explanation in a particular example (Solved exercise) that illustrates the given step of the standard process;
• Tutorials: Supporting documents with detailed explanations of the concepts given in the videos. In addition, the tutorials also have more examples that allow you to see how the concepts apply in practice. The tutorials can be read from start to finish or used as a reference source whenever you need to know more about something;
• Cookbooks: Collections of small programs that solve typical situations. In general, cookbooks are useful when you want to solve a routine problem and need code examples to make your work easier.

Additional notebooks resources:

Additionally, for each step of the standard process of building models, you can find challenges to check your acquired skills and level of autonomy with the content at hand. They are in the form of partially solved exercises and open exercises and don’t count for grading. This is for what is called self-regulated learning. We encourage you to use MOOC's Discussion fórum to post your questions and remarks.

How you are going to look at supervised learning models You will be challenged to reflect on the mathematical foundations, the history of algorithm development and current challenges of supervised learning models.