Overall statement or summary of the article and its findings in your own words

This chapter show a summary of machine learning, from the most basic data mining workflow detailing each stage, until the tools used by the scientific community in that moment (year: 2010).

Overall strengths of the article and what impact it might have in your field

The chapter refers to the machine learning taxonomy, as well as the algorithms. And they allow clarifying concepts in this field of research.

Specific comments on weaknesses of the article and what could be done to improve it: Major points in the article which needs clarification, refinement, reanalysis, rewrites and/or additional information and suggestions for what could be done to improve the article.

The chapter contains topics related to machine learning in a broad way. Therefore, it do not require changes.

Minor points like figures/tables not being mentioned in the text, a missing reference, typos, and other inconsistencies.

The bibliography is related to the topic. Only, be careful in writing. In table 2.1 about Confusion matrix for a two-class problem, there is "Acutal class" and the correct thing is "Current class"