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Tales of Science and DataBooks / Free eBooks
This is an ebook written as a series of Jupyter notebooks, “intended as a collection of personally elaborated materials on Data Science. Topics span a quite large spectrum in the Data Science field: nothing will ever be fully comprehensive, but the purpose is keeping this continuously updated. Learning never ends!” Content includes: Probability & Statistics Machine Learning: Supervised Learning Unsupervised Learning Artificial Neural Networks Model Assessment Natural Language Processing Computer … Continue Reading
Python for Informatics: Exploring InformationBooks / Free eBooks / physical books or multiple formats
From Amazon: “This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic … Continue Reading
Field Guide to Continuous Probability DistributionsBooks / Free eBooks
This compendium details hundred or so simple continuous probability distributions, their properties and their interrelations.
Efficient R Programming: A Practical Guide to Smarter ProgrammingBooks / Free eBooks / physical books or multiple formats
From Amazon: “There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin … Continue Reading
Data Analysis for the Life SciencesBooks / Free eBooks / physical books or multiple formats
Data analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst.