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The R programming language has rapidly gained prominence in academia, industry, and research due to its open-source nature, rich ecosystem of packages, and its ability to handle complex data analysis tasks with relative ease. Its flexibility allows you to explore, visualize, and model data, making it an invaluable tool for anyone dealing with data-driven decision-making.
In this book, we will take you on a journey through the fundamental concepts of R
The R programming language has rapidly gained prominence in academia, industry, and research due to its open-source nature, rich ecosystem of packages, and its ability to handle complex data analysis tasks with relative ease. Its flexibility allows you to explore, visualize, and model data, making it an invaluable tool for anyone dealing with data-driven decision-making.
In this book, we will take you on a journey through the fundamental concepts of R programming. Starting from the basics, we will guide you through the syntax, data structures, and control structures that form the building blocks of the language. We will delve into the world of data manipulation, exploring how R can help you clean, transform, and reshape data into meaningful insights.
Welcome to the fascinating world of wireless communication systems! In this book, we embark on an exciting journey through the intricate realm of wireless technologies, where invisible signals traverse the air to connect people and devices across the globe. From cellular networks to Wi-Fi, Bluetooth, and beyond, we will explore the foundations, design principles, and simulation techniques that underpin these modern miracles of communication.
The rapid
Welcome to the fascinating world of wireless communication systems! In this book, we embark on an exciting journey through the intricate realm of wireless technologies, where invisible signals traverse the air to connect people and devices across the globe. From cellular networks to Wi-Fi, Bluetooth, and beyond, we will explore the foundations, design principles, and simulation techniques that underpin these modern miracles of communication.
The rapid advancements in wireless technologies have revolutionized the way we live, work, and interact. From the early days of wireless telegraphy to the current era of 5G and beyond, wireless communication systems have continuously evolved, offering ever-faster data rates, broader coverage, and improved reliability. As we rely more on these wireless networks to power our everyday lives, the need for accurate, efficient, and reliable simulation tools becomes increasingly critical.
This book aims to be your comprehensive guide to simulating wireless communication systems. It caters to a diverse audience, including students, researchers, engineers, and anyone intrigued by the complexities of wireless technology. Whether you are a beginner seeking to grasp the fundamentals or a seasoned professional looking to refine your simulation techniques, we hope this book will be an invaluable resource.
This book has one goal: to provide a comprehensive introduction to the theoretical and practical aspects of blockchain technology. This book contains all the material that is required to fully understand blockchain technology. After reading this book, readers will be able to develop a deep understanding of inner workings of blockchain technology and will be able to develop blockchain applications. This book covers all topics relevant to blockchain technology,
This book has one goal: to provide a comprehensive introduction to the theoretical and practical aspects of blockchain technology. This book contains all the material that is required to fully understand blockchain technology. After reading this book, readers will be able to develop a deep understanding of inner workings of blockchain technology and will be able to develop blockchain applications. This book covers all topics relevant to blockchain technology, including cryptography, cryptocurrenices, Bitcoin, Ethereum, and various other platforms and tools used for blockchain development. It is recommended that readers have a basic understanding of computer science and basic programming experience in order to benefit fully from this book. However, if that is not the case then still this book can be read easily, as relevant background material is provided where necessary.
Network Security and Number Theory Basics, Cryptography Basics, Security Functions and Data Security, Internet Security, Computer System Security, Current Computer Forensic Tools
Network Security and Number Theory Basics, Cryptography Basics, Security Functions and Data Security, Internet Security, Computer System Security, Current Computer Forensic Tools
The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies applicable to digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. The material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including image fundamentals; image filterin
The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies applicable to digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. The material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including image fundamentals; image filtering and enhancement in the spatial and frequency domains; image restoration and reconstruction; color image processing; wavelets and other image transforms; image compression and watermarking; morphology; segmentation using "classical" methods; segmentation using graph cuts, super pixels, snakes, and level sets; image feature extraction, including the scale-invariant image transform (SIFT); and image pattern classification, including fully-connected and convolutional neural networks, and deep learning.
Sometimes, I feel, this applies to even the authors themselves. One of the reasons is that most of the books and articles discuss cloud computing from a highly technical viewpoint, instead of a user’s one. Another is the market-
ing hype that various businesses have created to use cloud computing as a selling point. This has led to a lot of confusion. This situation is common whenever a new technology enters the fray, and especially one that is bound
Sometimes, I feel, this applies to even the authors themselves. One of the reasons is that most of the books and articles discuss cloud computing from a highly technical viewpoint, instead of a user’s one. Another is the market-
ing hype that various businesses have created to use cloud computing as a selling point. This has led to a lot of confusion. This situation is common whenever a new technology enters the fray, and especially one that is bound to create a major paradigm shift. The purpose of this book therefore is to cut through the hype and show you how you can take advantage of cloud computing. You could be an investor who wants to learn more about the cloud-based technologies produced by the business you invest in, an entrepreneur who wants to use cloud computing to ramp up your start-up in an agile manner, a lawyer or judge working on a case that relates to cloud computing, a technologist who wants to use cloud computing in a new product or service that you are defining, a business student who wants to understand the paradigm shift that cloud computing represents to businesses globally, or a layperson who is curious about the subject—this book is for you. This book will help you understand cloud computing from a user’s standpoint: when to use it and when not to, how to select a cloud service and how to incorporate it with other cloud services or traditional IT, and what best practice is when using cloud computing.
In the modern age of artificial intelligence and business analytics, data is considered as the oil of this cyber world. The mining of data has huge potential to improve business outcomes, and to carry out the mining of data there is a growing demand for database mining experts. This book intends training learners to fill this gap.
This book will give learners sufficient information to acquire mastery over the subject. It covers the practical aspects of
In the modern age of artificial intelligence and business analytics, data is considered as the oil of this cyber world. The mining of data has huge potential to improve business outcomes, and to carry out the mining of data there is a growing demand for database mining experts. This book intends training learners to fill this gap.
This book will give learners sufficient information to acquire mastery over the subject. It covers the practical aspects of data mining, data warehousing, and machine learning in a simplified manner without compromising on the details of the subject. The main strength of the book is the illustration of concepts with practical examples so that the learners can grasp the contents easily. Another important feature of the book is illustration of data mining algorithms with practical hands- on sessions on Weka and R language (a major data mining tool and language, respectively). In this book, every concept has been illustrated through a step-by-step approach in tutorial form for self-practice in Weka and R. This textbook includes many pedagogical features such as chapter wise summary, exercises including probable problems, question bank, and relevant references, to provide sound knowledge to learners. It provides the students a platform to obtain expertise on technology, for better placements.
This book provides a quick introduction to the Python programming language. Python is a popular object-oriented language used for both standalone programs and scripting applications in a variety of domains. It’s free, portable, powerful, and remarkably easy to use. Whether you’re new to programming or a professional developer, this book’s goal is to bring you up to speed on the core Python language in a hurry. Before we jump into details, we&
This book provides a quick introduction to the Python programming language. Python is a popular object-oriented language used for both standalone programs and scripting applications in a variety of domains. It’s free, portable, powerful, and remarkably easy to use. Whether you’re new to programming or a professional developer, this book’s goal is to bring you up to speed on the core Python language in a hurry. Before we jump into details, we’d like to use this preface to say a few words about the book’s design.
In just the past five years, deep learning has taken the world by surprise, driving rapid progress in such diverse fields as computer vision, natural language processing, automatic speech recognition, reinforcement learning, and biomedical informatics. Moreover, the success of deep learning on so many tasks of practical interest has even catalyzed developments in theoretical machine learning and statistics. With these advances in hand, we can now build cars th
In just the past five years, deep learning has taken the world by surprise, driving rapid progress in such diverse fields as computer vision, natural language processing, automatic speech recognition, reinforcement learning, and biomedical informatics. Moreover, the success of deep learning on so many tasks of practical interest has even catalyzed developments in theoretical machine learning and statistics. With these advances in hand, we can now build cars that drive themselves with more autonomy than ever before (and less autonomy than some companies might have you believe), smart reply systems that automatically draft the most mundane emails, helping people dig out from oppressively large inboxes, and software agents that dominate the world’s best humans at board games like Go, a feat once thought to be decades away. Already, these tools exert ever-wider impacts on industry and society, changing the way movies are made, diseases are diagnosed, and playing a growing role in basic sciences from astrophysics to biology.
The purpose of the book is to gain fundamental and practical understanding on concrete repair and rehabilitation of the structures. Large number of reinforced concrete (RC) structure are deteriorating, often prematurely, and need remedial measures to reinstate their safety and/or serviceability. Consequently, the need for repair and protection has grown considerably in recent years. While costs associated with repair of deteriorating concrete structures can be
The purpose of the book is to gain fundamental and practical understanding on concrete repair and rehabilitation of the structures. Large number of reinforced concrete (RC) structure are deteriorating, often prematurely, and need remedial measures to reinstate their safety and/or serviceability. Consequently, the need for repair and protection has grown considerably in recent years. While costs associated with repair of deteriorating concrete structures can be substantial, costs resulting from poorly designed or executed repairs may be even higher. Repair methods need to be designed with consideration for the anticipated or desired remaining service life of the structure. A distinction must be made between repairs intended to stop deterioration fully and those merely aimed at slowing down deterioration processes for a limited period of time. During the research for our project relevant repair methods for damaged concrete structures will be discussed, focussing on design methods.
This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language. One of the unique features of this book is inclusion of number of solved examples; in between the chapters and also at the end of many chapters. Real life examples have been discussed to make the reader conversant with the intricate phenomenon of computer science in general, and artificial intell
This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language. One of the unique features of this book is inclusion of number of solved examples; in between the chapters and also at the end of many chapters. Real life examples have been discussed to make the reader conversant with the intricate phenomenon of computer science in general, and artificial intelligence in particular. The book is primarily developed for undergraduate and postgraduate engineering students.
This book reflects the authors’ experience in teaching one- and two-semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Image Understanding, Medical Imaging, Machine Vision, Pattern Recognition, and Intelligent Robotics at their respective institutions. We hope that this combined experience will give a thorough grounding to the beginner and provide material that is advanced enough to allow the more mature stud
This book reflects the authors’ experience in teaching one- and two-semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Image Understanding, Medical Imaging, Machine Vision, Pattern Recognition, and Intelligent Robotics at their respective institutions. We hope that this combined experience will give a thorough grounding to the beginner and provide material that is advanced enough to allow the more mature student to understand fully the relevant areas of the subject. We acknowledge that in a very short time the more active areas will have moved beyond this text.
Being a data scientist in the tech industry is one of the most rewarding careers on the planet today. I went and studied actual job descriptions for data scientist roles at tech companies and I distilled those requirements down into the topics that you'll see in this course. Data Science and Machine Learning are really comprehensive. We'll start with a crash course on Python and do a review of some basic statistics and probability, but then we're going to dive
Being a data scientist in the tech industry is one of the most rewarding careers on the planet today. I went and studied actual job descriptions for data scientist roles at tech companies and I distilled those requirements down into the topics that you'll see in this course. Data Science and Machine Learning are really comprehensive. We'll start with a crash course on Python and do a review of some basic statistics and probability, but then we're going to dive right into over 60 topics in data mining and machine learning. That includes things such as Bayes' theorem, clustering, decision trees, regression analysis, experimental design; we'll look at them all. Some of these topics are really fun. If you're a software developer or programmer looking to transition into a career in data science, this course will teach you the hottest skills without all the mathematical notation and pretense that comes along with these topics. We're just going to explain these concepts and show you some Python code that actually works that you can dive in and mess around with to make those concepts sink home, and if you're working as a data analyst in the finance industry, this course can also teach you to make the transition into the tech industry. All you need is some prior experience in programming or scripting and you should be good to go.
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