April 2018
Intermediate to advanced
456 pages
11h 47m
English
The previous chapter gives a comprehensive understanding of the basic data types in the context of machine learning. It also enables a beginner in the field of machine learning to acquire an understanding about the nature and quality of the data by effective exploration of the data set. In this chapter, the objective is to introduce the basic concepts of learning. In this regard, the information shared concerns the aspects of model selection and application. It also imparts knowledge regarding how to judge the effectiveness of the model in doing a specific learning task, supervised or unsupervised, and how to boost the model performance using different tuning parameters.