Operating Systems

Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing

Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.

Kali Linux Social Engineering

This book is a practical, hands-on guide to learning and performing SET attacks with multiple examples.Kali Linux Social Engineering is for penetration testers who want to use BackTrack in order to test for social engineering vulnerabilities or for those who wish to master the art of social engineering attacks.

A Practical Guide to Fedora and Red Hat Enterprise Linux (7th Edition)

“I have found this book to be a very useful classroom text, as well as a great Linux resource. It teaches Linux using a ground-up approach that gives students the chance to progress with their skills and grow into the Linux world. I have often pointed to this book when asked to recommend a solid Linux reference.” — Eric Hartwell, Chair, School of Information Technology, ITT Technical Institute


Shell scripting is a quick method to prototype a complex application or a problem by automating tasks when working on Linux-based systems. Using both simple one-line commands and command sequences complex problems can be solved with ease, from text processing to backing up sysadmin tools.

Rule Based Systems for Big Data: A Machine Learning Approach 1st ed

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data.

Teach Yourself VISUALLY MacBook Pro 2nd Edition

Covering all the essential information you need to get up to speed with your MacBook Pro, this new edition provides you with the most up-to-date information on performing everyday tasks quickly and easily. From basics such as powering on or shutting down the MacBook Pro to more advanced tasks such as running Windows applications, this visual guide provides the help and support you need to confidently use your MacBook Pro to its full potential.

Switching to the Mac: The Missing Manual, El Capitan Edition 1st Edition

Those who have made the switch from a Windows PC to a Mac have made Switching to the Mac: The Missing Manual a runaway bestseller. The latest edition of this guide delivers what Apple doesn't—everything you need to know to successfully and painlessly move your files and adapt to Mac's way of doing things. Written with wit and objectivity by Missing Manual series creator and bestselling author David Pogue, this book will have you up and running on your new Mac in no time.

Machine Learning for Evolution Strategies 1st ed. 2016 Edition

This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions,

Teach Yourself VISUALLY MacBook 3rd Edition

The visual way to unlock the power of your MacBook If you're a visual learner who's eager to get up and running on all the MacBook has to offer, this fully illustrated and easy-to-follow guide is for you. Covering all the essential information you need to make the most of your MacBook, this new edition of Teach Yourself Visually MacBook provides you with the most up-to-date information on performing everyday tasks—quickly and easily.

Introducing Linux Distros 1st ed. Edition

The first barrier that a new Linux user has to face is the overwhelming number of "flavors" that this operating system has. These "flavors" are commonly known as distros (from distribution), and to date there are more than three hundred active distros to choose from. So, how to choose one? You can choose the most popular at the moment, or take heed of what your friend says, but are you sure that this is the one that you need? Making the wrong decision on this matter is behind a good number of disappointments with this operating system.


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