Practical Machine Learning

Summary

In this chapter, which forms the basis for the rest of the chapters of this book, we covered the basics of Machine learning and the landscape of Machine learning semantics. We started by defining Machine learning in simple terms and introduced Machine learning jargon or the commonly used terms.

There are many competing and complementing fields of Machine learning. We have thoroughly explained the similarities, dissimilarities, and the relationship of Machine learning with fields such as artificial intelligence, data mining, data science, and statistics. Overall, all these fields are very similar and have overlapping goals. In most cases, the practitioners of these fields were different. Even in terms of the tools being used, there were ...