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Introduction to Data Science and Machine Learning
Technical books focus most of the times in technical stuff, as one should expect. However, this creates the illusion that technology is somewhat free of bias, always neutral, thus fitting everyone. Reality, later on, when the product is already there, proofs us otherwise. Inclusion and representation are crucial from the design and modeling stages. Visibility of minorities or underrepresented groups is on the rise, yet so much of the way is left for us technicians to walk. In this chapter, wedoi:10.5772/intechopen.86538 fatcat:f7iie4ptbnaw7oxlwu5u232pdu