The last unit of this job role provides a broad description of the different Machine Learning problems and application domains through the analysis of some examples of resolution of typical machine learning problems and through a practical exercise that allows apprentices to apply all the knowledge and skills acquired until know. It consists of the following learning elements:
E1 – Solving Typical Machine Learning Problems
This learning element describes the typical machine learning problems and areas of intervention. In addition, this element provides insights on the key stages of the resolution approach that typically applies to those problems through an exhaustive analysis and discussion of the resolution of some machine learning problems. The main steps involved include data understanding, data cleaning and transformation, selection of the machine learning model that best fits this specific problem, training and assessment of the learning model. By doing so, this element also gives awareness to the main challenges surrounding machine learning approaches.