Data Scientist - The Definite Guide to Becoming a Data Scientist - Aimed at people starting their careers as data scientists, as well as students who want to learn more about the field and get involved in it professionally.
Julia for Data Science - Targeting data scientists who want to learn how they can use this fairly new programming language in their data science projects, as well as people who are already familiar with the language and want to explore how they can use if for data science applications.
Data Science - Mindset, Methodologies and Misconceptions - Written with data science professionals in mind, as well as students who are learning about the field. Attempts to clarify what data science is, what it can do, and how you can think as a data scientist, regardless of the tools you choose to use.
A.I. for Data Science - Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond - A collaborate project with Yunus E. Bulut, this book covers various aspects of A.I. related to DS, not just the most popular topics of the subject. Coupled with lots of code in Python and Julia, this book is a great guide for both the data scientist wishing to delve into A.I. and for the programmer who wants to learn about both fields, in a practical and interesting way.
I, AGI - The Adventures of an Advanced Artificial Intelligence - A novel I put together in 2018, as an attempt to raise awareness of the potential safety issues of having an AGI in our world today, as well as the fascinating possibilities it opens. Geared towards a non-technical audience, I try to focus more on the characters (especially the AGI one), instead of how things work. Currently the book is available in digital format only.
You can find all of my technical books (along with my videos), at the Data Science column of my publisher's page on the data analytics category.