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Readers will learn the essentials of spatial data handling using the open source software QGIS and be guided... Læs mere
"For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills; includes examples of machine learning coding scenarios built using the ML.NET library"--Back cover.
This practical guide shows you how to use the CLI with the bash shell to perform tasks such as data collection and analysis, intrusion detection, reverse engineering, and administration.
Now available in paperback— Relational databases hold data, right? The math that you'll learn in this book will put you above the level of understanding of most database professionals today.
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive... Læs mere
This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The... Læs mere
Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R.
Beginning user level
Intermediate-Advanced user level
Intermediate-Advanced user level
This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of... Læs mere