Books

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. This book covers the design, acquisition, and analysis of fMRI data.

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

This book will teach you two things: how to make high quality statistical charts, and how to do it fast. The tool we’ll use is a R package called ezplot, which I wrote to help me with my consulting work. After working through this book, you will be able to create any of the top 10 most used charts in less than 1 minute.

This book teaches you how to assemble and lead a data science enterprise so that your organization can move towards extracting information from big data. This book is based on the acclaimed Johns Hopkins Executive Data Science Specialization. Printed copies of this book are available through Lulu.

In this thought-provoking exploration of the limits of science, A Mathematical Theory of the Unknown takes you on a journey beyond the frontiers of human understanding. Drawing on the principles of computability, complexity, and artificial intelligence, this book introduces a new mathematical framework for measuring ignorance, guiding discovery, and redefining what it means to achieve perfect knowledge.

Data is messy and cleaning it can be time-consuming and costly – but it doesn’t have to be this way. If you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective.Practical Data Cleaning explains the 19 most important tips about data cleaning to get your data analysis-ready in double quick time.

This book teaches you how to use data analysis and machine learning to predict bad loan customers based on their applications and demographic data. It is a step-by-step guide, starting from data cleaning, descriptive and exploratory analysis, data visualization, and finishing at model building and backtesting. Each step is accompanied by a set of R code that are ready to use in your own projects with no or little modifications.

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

Data Science simplified, jargon nullifiedSimple way to understand what actually is Data Science and what Data Scientists actually do

This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. Printed copies are available through Lulu.

Modern AI applications are not built from scratch but, instead, by integrating off-the-shelf components: libraries, frameworks, and services. "Applied Artificial Intelligence - An Engingeering Approach" focuses on engineering user friendly, high-performance, and maintainable AI applications.

FLOSS4Science Interviews with leaders of the scientific open source software community Vol. 2

FLOSS4Science Interviews with leaders of the scientific open source software community Vol. 1

Code snippets to help Python developers generate PDF documents dynamically using pyFPDF. Download the free sample, it contains around 30 code examples that will make you instantly productive.

This book gives a brief, but rigorous, treatment of regression models intended for practicing Data Scientists.