The topic of this book is data science, which is a field of study that has been growing rapidly for the past few decades. Today, more companies than ever before are investing in big data and data science to improve business performance, drive innovation, and create new revenue streams by building data products. According to LinkedIn's 2017 US Emerging Jobs Report, machine learning engineer, data scientist, and big data engineer rank among the top emerging jobs, and companies in a wide range of industries are seeking people with the requisite skills for those roles.
We will dive into topics from all three areas and solve complex problems. We will clean, explore, and analyze data in order to derive scientific and accurate conclusions. Machine learning and deep learning techniques will be applied to solve complex data tasks.
This book is for people who are looking to understand and utilize the basic practices of data science for any domain. The reader should be fairly well acquainted with basic mathematics (algebra, and perhaps probability) and should feel comfortable reading snippets in R/Python as well as pseudo code. The reader is not expected to have worked in a data field; however, they should have the urge to learn and apply the techniques put forth in this book to either their own datasets or those provided to them.