Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers tradi...

The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn"

Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and s...

For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage app...

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics.

It covers abstraction, algorithms, logic, graph th...

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

- Noodzakelijke verdieping van de wiskundige basiskennis;

- accent op praktische toepassingen;

- inclusief apart uitwerkingenboek dat zelfstudie mogelijk maakt.

De serie Wiskunde voor het Hoger Onderwijs is al jarenlang dé wiskundemethode bij uitstek voor met name technische hbo-studies. Deel A sluit aan bij het eerste studiejaar, Deel B biedt de noodzakelijke wiskundige verdieping en toepassing voor de hoofdfase van de opleiding.

Deel B geeft studenten o.a. inzicht in limieten, functies van...

- Geschreven voor eerstejaarsstudenten in het hoger technisch onderwijs;

- voorzien van vele voorbeelden die de stof van context voorzien;

- volop oefenmogelijkheden.

Wiskunde, de basis 1 vergroot het wiskundig inzicht van studenten in de propedeusefase van een technische ho-opleiding en voorziet hen van een degelijke wiskundebasis. Het boek bevat van vele opgaven om de theorie te toetsen en voorbeelden die de stof van context voorzien.

Wiskunde, de basis 1 heeft als uitgangspunt dat de opga...