Mercury Learning and Information

MERCURY LEARNING AND INFORMATION provides content in the areas of science and health, technology and computing, engineering, and mathematics (STEM disciplines) designed for the professional/reference, trade, library, higher education, career school, and online training markets.

Featured Reviews

"Adding to the Pocket Primer series is a fine introduction to basic deep learning approaches to Angular 10 applications, offering computer users a fast way to applying knowledge to real-world activities. Computer users should expect discussions of basic deep learning concepts, accompanied by algorithms and code files that demonstrate how these concepts work in the Angular 10 environment. Chapters cover TensorFlow 2 and Keras as they examine subjects such as pipes and UI controls, data binding models, architectures for deep learning, and creating histograms, heat maps, and more. Those seeking a quick learning approach to Angular and the deep learning environment will find this pocket primer's examples and references lend nicely to refresher courses and new introductions alike."


"Computer Concepts and Management Information Systems covers the basics of computers for those who would embark on a self-study program at home. It covers all the major basics of hardware and software, from systems to applications. While it provides information on Microsoft Office and other information systems, it expands its subjects to cover security issues, cybercrime, and even business ethics. Self-study readers looking for a basic introduction to computers will find this an excellent starting point."

"Oswald Campesato's BASH Command Line and Shell Scripts Pocket Primer joins others in the 'Pocket Primer' series, covering the basics of command-line utilities that can produce effective shell scripts. Programmers relatively new to this concept as well as those seeking a refresher course will find this introduction to shell scripts key to contrasting approaches to data analysis and shell-based problem-solving."

Data Science Tools

R • Excel • KNIME • OpenOffice

"Data Science Tools covers Excel, OpenOffice, KIME and R, and examines how statistical concepts are analyzed, translated, and surveyed. It uses data from federal sources and reviews basic statistical concepts, from distribution and histrograms to various forms of analysis and representation. The contrast between the different software approaches and uses will especially interest students looking to understand the different software systems and how they approach data representation and analysis."