Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a sp...

This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probabilit...

This book analyses the US drone attacks against terrorists in Pakistan to assess whether the ‘pre-emptive’ use of combat drones to kill terrorists is ever legally justified.Exploring the doctrinal discourse of pre-emption vis-à-vis the US drone attacks against terrorists in Pakistan, the book shows that the debate surrounding this discourse encapsulates crucial tensions between the permission and limits of the right of self-defence. Drawing from the long history of God-given and ma...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You’ll learn the steps necessary to create a successful machine-learning appl...

"A sharply articulated, well-documented expos of the political and economic manipulation of language . . . Fans of Orwell, take heart."— Kirkus ReviewsWhat do the phrases "pro-life," "intelligent design," and "the war on terror" have in common? Each of them is a name for something that smuggles in a highly charged political opinion. Words and phrases that function in this special way go by many names. Some writers call them "evaluative-descriptive terms." ...

Torture is indisputably abhorrent. Why, you might ask, would you even want to think or read about torture? That is a very good question, and one this book addresses in a compelling and enlightening way. Torture is a very important issue, not least because millions of people around the world have been subjected to this odious practice—and many are enduring torture right now as you read these words.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent...

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision...

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...

Michael Walzer is one of the world’s most eminent philosophers on the subject of war and ethics. Now, for the first time since his classic Just and Unjust Wars was published almost three decades ago, this volume brings together his most provocative arguments about contemporary military conflicts and the ethical issues they raise.The essays in the book are divided into three sections. The first deals with issues such as humanitarian intervention, emergency ethics, and te...

Islamophobia has been on the rise since September 11, as seen in countless cases of discrimination, racism, hate speeches, physical attacks, and anti-Muslim campaigns. The 2006 Danish cartoon crisis and the controversy surrounding Pope Benedict XVI's Regensburg speech have underscored the urgency of such issues as image-making, multiculturalism, freedom of expression, respect for religious symbols, and interfaith relations. The 1997 Runnymede Report defines Islamophobia as "dread, hatred, ...

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize you...