Books

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 introduces a formal framework for measuring ignorance (or nescience) and for guiding scientific discovery. Grounded in computability theory, Kolmogorov complexity, and artificial intelligence, the book analyzes how representations and models encode knowledge, and how their limitations can be quantified. The result is a new perspective on unknown unknowns, perfect knowledge, and the limits of science. For readers interested in artificial intelligence, scientific discovery, and the foundations of 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.

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

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.

Ralph Nelson Elliott in the 1930s was the pioneer of FOREX "Wave Theory". Yes, he was onto something, but did not fully understand data communications! Every book that was ever written on "Elliott Wave Theory" is missing this one critical piece of information that I explain thoroughly in this book and provide the MQL source code as Bonus Content.

Cómo entrar, obtener de los datos, escabullirse con la noticia... y asegurarse de que nadie salga herido

The data's out there, but what can we do with it? As the ultimate chaser of technological innovation, Formula One motor sport is still outpaced by baseball and cricket in the stats fans stakes. But no more: it's time for the F1 data junkies to fight back...

Innovation isn't easy, so taking a close look on how someone succeeded with it is very helpful.

Every spreadsheet tells many stories - this book tells you how to ask the right questions.