Books

Would you like to use TK or TKTD modelling to answer (applied) scientific questions, but lack the background in modelling and/or statistics? Then this is the book for you. This book provides a small selection of the tools from math and stats, along with some elements from philosophy of science, to get you up to speed.

If you are able to contribute, it will go to support OpenIntro (not the author), a US-based nonprofit working to spread open materials, e.g. by providing desk copies to instructors considering this text. This listing is in collaboration with the textbook's author, Jim Hefferon. Linear Algebra's official websitePaperbacks are $22openintro.org

A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.

Leanpub revenue supports OpenIntro. OpenIntro is a US-based nonprofit that provides textbook services to help increase adoption of OER textbooks and save students money. These textbook services are fully financed by Leanpub contributions on supported books. APEX Calculus website: apexcalculus.comOpenIntro website: openintro.org

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.

Toxicokinetic-toxicodynamic (TKTD) modelling is an exciting field of ecotoxicology that aims to understand and predict toxic effects, rather than just describing them. A lot of work has been done in this field, especially over the last two decades. However, many open (and in some cases fundamental) questions still remain to be solved.

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. Instead of showing theory first and then applying it to toy examples, we start with actual applications and describe the theory as it becomes necessary to solve specific challenges. The book includes links to computer code that readers can use to follow along as they program.

A complete foundation for Statistics, also serving as a foundation for Data Science, that introduces inference using randomization and simulation while covering traditional methods. Leanpub revenue supports OpenIntro, so we can provide free desk copies to teachers interested in using our books in the classroom. More resources: openintro.org.

All statistical foundations you need to understand and use machine learning! It includes R/Pyhton software and Shiny dashboards to illustrate numerically the most important concepts.

This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged.

Quantum computing is real, but is frankly surrounded by a thick fog of hype. Do you want to see it clearly, understand its realities, and even consider joining it as a professional software engineer?

A book about how to be a scientist the modern, open-source way.

Nature has already run the experiments. We just need to copy the results. Before human engineers built sensors, evolution spent millions of years perfecting them.Sensory Codex – Nature: The Big Scientist decodes 500 extraordinary biological mechanisms that bridge the gap between biology and the technologies of tomorrow. Ready to look at life through a different lens?

Review the theory. Work through the examples. Solve the problems. Prepare for your examinations with confidence.Aerodynamics, Turbomachinery & Computational Fluid Dynamics is designed as a practical review and examination-preparation guide for engineering students. It brings together essential concepts, equations, methods, worked examples, solved problems, and numerical exercises to help students quickly revise and apply what they have learned.The book places particular emphasis on step-by-step worked examples and problem solving. Important formulas and principles are followed by applications showing how to approach typical engineering problems, perform calculations, and interpret the results.Use it for systematic revision throughout the semester or intensive preparation before examinations. The worked examples and problems are especially useful for developing speed, accuracy, and confidence in solving numerical and analytical questions.Ideal for students of aerospace engineering, mechanical engineering, aeronautical engineering, and related disciplines, preparing for university examinations, competitive examinations, and technical assessments.

We'll begin with the most basic question — what does it mean to "see" something? — and walk step by step through how we gather information from the universe. From photons falling into telescopes to the fingerprints of atoms in starlight, you'll learn how we extract meaning from distant messengers. This book doesn't assume you're a physicist. What it assumes is that you're curious, thoughtful, and willing to slow down and think things through. We emphasize conceptual understanding, plain language, and building your own reasoning from the ground up. You'll walk in the shoes of astronomers, wrestle with cosmic puzzles, and come away with a deep, working intuition for how astrophysics actually works. Whether you're preparing for more advanced coursework, teaching others, or simply hungry to understand the universe for yourself, this is your starting point. Note: this material is originally developed as a required resource for a college course. The series continues to AftRoU: Physics of Stars and AftRoU: Physics of Galaxies. Their book versions are going to be available as soon as they are ready. Hopefully around January 2027 timeframe.