Machine Learning and Deep Learning for Applications

Abstract

Machine learning is the study of computer algorithms that improve automatically through experience and using data. Different from traditional machine learning techniques that rely on human experts to extract features from the data, deep learning uses multiple layers of artificial neural networks to progressively extract higher-level features from the raw input. Because of society uses and adopting digital data increasingly, the digital dependence also continues to grow. In modern society, we deal with big data day in and day out; machine learning and deep learning techniques are pivotal in processing and analyzing these big data, including but not limited to our daily experience ranging from shopping behavior to metadata of medical records to improve treatment and therapy in different medical fields. Putting aside the complicated and sophisticated mathematical equations, in this chapter, the authors introduce machine learning and deep learning techniques by going through several hands-on projects with Python.