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Artificial Intelligence has become a cornerstone of modern technology, and at its heart lies Deep Learning, a powerful method that enables machines to perceive, learn, and make decisions. From powering virtual assistants to diagnosing diseases and revolutionizing industries, deep learning is no longer a futuristic concept but a transformative reality. Yet, for many, the intricate world of deep learning feels inaccessible, reserved for experts or those with tec
Artificial Intelligence has become a cornerstone of modern technology, and at its heart lies Deep Learning, a powerful method that enables machines to perceive, learn, and make decisions. From powering virtual assistants to diagnosing diseases and revolutionizing industries, deep learning is no longer a futuristic concept but a transformative reality. Yet, for many, the intricate world of deep learning feels inaccessible, reserved for experts or those with technical expertise. Deep Learning for Everyone is here to change that narrative, offering a clear, concise, and engaging exploration of deep learning that anyone can understand.
This book is crafted to bridge the gap between complexity and comprehension. It introduces you to the foundational ideas of deep learning, explores its practical applications, and discusses its societal implications in a way that is accessible to all readers—whether you’re a curious student, a professional seeking to understand AI’s impact, or simply an enthusiast eager to learn about the technology shaping our future. By the end of this journey, you’ll not only grasp the power of deep learning but also feel inspired to engage with its endless possibilities. Welcome to a world where learning never stops, and innovation knows no bounds!
Artificial Intelligence has become a cornerstone of modern technology, and at its heart lies Deep Learning, a powerful method that enables machines to perceive, learn, and make decisions. From powering virtual assistants to diagnosing diseases and revolutionizing industries, deep learning is no longer a futuristic concept but a transformative reality. Yet, for many, the intricate world of deep learning feels inaccessible, reserved for experts or those with tec
Artificial Intelligence has become a cornerstone of modern technology, and at its heart lies Deep Learning, a powerful method that enables machines to perceive, learn, and make decisions. From powering virtual assistants to diagnosing diseases and revolutionizing industries, deep learning is no longer a futuristic concept but a transformative reality. Yet, for many, the intricate world of deep learning feels inaccessible, reserved for experts or those with technical expertise. Deep Learning for Everyone is here to change that narrative, offering a clear, concise, and engaging exploration of deep learning that anyone can understand.
This book is crafted to bridge the gap between complexity and comprehension. It introduces you to the foundational ideas of deep learning, explores its practical applications, and discusses its societal implications in a way that is accessible to all readers—whether you’re a curious student, a professional seeking to understand AI’s impact, or simply an enthusiast eager to learn about the technology shaping our future. By the end of this journey, you’ll not only grasp the power of deep learning but also feel inspired to engage with its endless possibilities. Welcome to a world where learning never stops, and innovation knows no bounds!
In the vast landscape of modern technology, Artificial Intelligence (AI) stands as both a pinnacle of human ingenuity and a testament to our relentless pursuit of understanding and replicating intelligence. "Exploring Artificial Intelligence" invites readers into this dynamic realm where algorithms simulate human cognition, machines learn from data, and intelligent systems reshape industries and societies. As we embark on this journey, we delve into the core p
In the vast landscape of modern technology, Artificial Intelligence (AI) stands as both a pinnacle of human ingenuity and a testament to our relentless pursuit of understanding and replicating intelligence. "Exploring Artificial Intelligence" invites readers into this dynamic realm where algorithms simulate human cognition, machines learn from data, and intelligent systems reshape industries and societies. As we embark on this journey, we delve into the core principles, applications, and ethical considerations that define AI's transformative power. Whether you are an enthusiast, a student, or a seasoned professional, this book serves as a comprehensive guide to navigate the complexities and possibilities of AI in the 21st century. In these pages, we aim to demystify AI, unraveling its intricacies while illustrating its profound impact across domains such as healthcare, finance, transportation, and beyond. Through a blend of theoretical insights and practical examples, "Exploring Artificial Intelligence" equips readers with the knowledge and tools necessary to comprehend the mechanisms driving AI advancements and to harness its potential responsibly. With each chapter, we invite you to embark on a voyage through the algorithms, neural networks, and ethical dilemmas that shape the landscape of artificial intelligence, empowering you to not only understand but also actively participate in shaping the future of this transformative technology.
Artificial Intelligence: Foundations of Computational Agents is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. The book is structured as a textbook but it is designed to be accessible to a wide audience. The book can be used as an introductory text on artificial intelligence for advanced undergraduate or graduate students in computer science or related disciplines such as computer en
Artificial Intelligence: Foundations of Computational Agents is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. The book is structured as a textbook but it is designed to be accessible to a wide audience. The book can be used as an introductory text on artificial intelligence for advanced undergraduate or graduate students in computer science or related disciplines such as computer engineering, philosophy, cognitive science, or psychology. It will appeal more to the technically minded; parts are technically challenging, focusing on learning by doing: designing, building, and implementing systems. Any curious scientifically oriented reader will benefit from studying the book. Previous experience with computational systems is desirable, but prior study of the foundations upon which we build, including logic, probability, calculus, and control theory, is not necessary, because we develop the concepts as required.
Introduction to R Programming, Data Manipulation, Visualizing Data, Working with Large Datasets, Supervised Learning, Unsupervised Learning, Advanced R Programming
Introduction to R Programming, Data Manipulation, Visualizing Data, Working with Large Datasets, Supervised Learning, Unsupervised Learning, Advanced R Programming
The Internet-of-Things (IoT) is gradually being established as the new computing paradigm, which is bound to change the ways of our everyday working and living. IoT emphasizes the interconnection of virtually all types of physical objects (e.g., cell phones, wearables, smart meters, sensors, coffee machines and more) towards enabling them to exchange data and services among themselves, while also interacting with humans as well. Few years following the introdu
The Internet-of-Things (IoT) is gradually being established as the new computing paradigm, which is bound to change the ways of our everyday working and living. IoT emphasizes the interconnection of virtually all types of physical objects (e.g., cell phones, wearables, smart meters, sensors, coffee machines and more) towards enabling them to exchange data and services among themselves, while also interacting with humans as well. Few years following the introduction of the IoT concept, significant hype was generated as a result of the proliferating number of IoT-enabled devices, which (according to many projections) are expected to amount to several billions in the next years. During recent years, this hype has been turning to reality, as a wave of IoT applications with significant social and economic has been emerging. Even in cases of IoT applications that deal with actuation and control (e.g., manufacturing robots), IoT data analysis plays a major role, as the foundation for driving the control process.
Overall this is one of the first and few books to discuss advanced IoT analytics
topics, including relevant technologies and case studies. I therefore believe it
could provide insights on IoT analytics to interested parties for the coming
years, while I also expect that additional books on IoT analytics will also emerge. I sincerely hope that readers will find the book interesting and worth
reading.
Python reflects a number of growing trends in software development, putting it at or near the leading edge of good programming languages. It is a very simple language surrounded by a vast library of add-on modules. It is an open source project, supported by many individuals. It is an object-oriented language, binding data and processing into class definitions. It is a platform-independent, scripted language, with complete access to operating system API's. It supp
Python reflects a number of growing trends in software development, putting it at or near the leading edge of good programming languages. It is a very simple language surrounded by a vast library of add-on modules. It is an open source project, supported by many individuals. It is an object-oriented language, binding data and processing into class definitions. It is a platform-independent, scripted language, with complete access to operating system API's. It supports integration of complex solutions from pre-built components. It is a dynamic language, which avoids many of the complexities and overheads of compiled languages. This book is a complete presentation of the Python language. It is oriented toward learning, which involves accumulating many closely intertwined concepts. In our experience teaching, coaching and doing programming, there is an upper limit on the “clue absorption rate”. In order to keep within this limit, we've found that it helps to present a language as ever-expanding layers. We'll lead you from a very tiny, easy to understand subset of statements to the entire Python language and all of the built-in data structures. We've also found that doing a number of exercises helps internalize each language concept.
The intention of compiling this book has been to supply a working expertise of the important small print of civil construction, substances used in civil engineering, consisting of the supply of uncooked materials, their characteristics, the process of manufacture, their defects, structure and uses in the industry, and the fundamentals of surveying and leveling and various different most important subjects in civil engineering to all engineering college students i
The intention of compiling this book has been to supply a working expertise of the important small print of civil construction, substances used in civil engineering, consisting of the supply of uncooked materials, their characteristics, the process of manufacture, their defects, structure and uses in the industry, and the fundamentals of surveying and leveling and various different most important subjects in civil engineering to all engineering college students in a systematic way. The book is written in a clear and easy-to-read style, providing fundamentals of surveying at a level that can be rapidly grasped by means of a beginner.
The era of seemingly unlimited growth in processor performance is over: single chip architectures can no longer overcome the performance limitations imposed by the power they consume and the heat they generate. Today, Intel and other semiconductor firms are abandoning the single fast processor model in favor of multi-core microprocessors chips that combine two or more processors in a single package.
The era of seemingly unlimited growth in processor performance is over: single chip architectures can no longer overcome the performance limitations imposed by the power they consume and the heat they generate. Today, Intel and other semiconductor firms are abandoning the single fast processor model in favor of multi-core microprocessors chips that combine two or more processors in a single package.
This book is a tutorial, both on C# and on writing .Net Technology with C# Programming, First Edition, was written for programmers who want to develop applications for the .NET platform. No doubt many of you already have experience in C++, Java, or Visual Basic (VB). Other readers may have experience with other programming languages, and some readers may have no specific programming experience but perhaps have been working with HTML and other web technologies. Th
This book is a tutorial, both on C# and on writing .Net Technology with C# Programming, First Edition, was written for programmers who want to develop applications for the .NET platform. No doubt many of you already have experience in C++, Java, or Visual Basic (VB). Other readers may have experience with other programming languages, and some readers may have no specific programming experience but perhaps have been working with HTML and other web technologies. This book is written for all of you, though if you have no programming experience at all, you may find some of it tough going.
This book encapsulates rich practical hands-on experience in developing web applications, combined with teaching the subject for graduate/post-graduate students. The book is therefore a culmination of putting together what has been both practiced as well as preached, which is the one of the most compelling differentiators for this book. But what is more fascinating is the nature of the web itself.
This book encapsulates rich practical hands-on experience in developing web applications, combined with teaching the subject for graduate/post-graduate students. The book is therefore a culmination of putting together what has been both practiced as well as preached, which is the one of the most compelling differentiators for this book. But what is more fascinating is the nature of the web itself.
This book provides students with a coherent view of the state of the art and practice, and provides developers and managers with technical and organizational approaches to push the state of practice toward the state of the art.
This book provides students with a coherent view of the state of the art and practice, and provides developers and managers with technical and organizational approaches to push the state of practice toward the state of the art.
Data communications and networking presents a unique challenge for instructors and students. As both the number and types of students are increasing, it is essential to have a textbook that provides coverage of the latest advances, while presenting the material in a way that is accessible to students with little. Using a bottom-up approach, Data Communications and Networking presents this highly technical subject matter without relying on complex formulas by usin
Data communications and networking presents a unique challenge for instructors and students. As both the number and types of students are increasing, it is essential to have a textbook that provides coverage of the latest advances, while presenting the material in a way that is accessible to students with little. Using a bottom-up approach, Data Communications and Networking presents this highly technical subject matter without relying on complex formulas by using a strong pedagogical approach supported by more than 100 figures.
In style, this is a textbook rather than a tutorial. That is, it concentrates on explaining concepts rather than giving step-by-step how-to-do-it guides. I have tried to use a conversational writing style that might be closer to classroom lecture than to a typical textbook. You’ll find programming exercises at the end of most chapters, and you will find a detailed solution for each exercise, with the sort of discussion that I would give if I presented the solu
In style, this is a textbook rather than a tutorial. That is, it concentrates on explaining concepts rather than giving step-by-step how-to-do-it guides. I have tried to use a conversational writing style that might be closer to classroom lecture than to a typical textbook. You’ll find programming exercises at the end of most chapters, and you will find a detailed solution for each exercise, with the sort of discussion that I would give if I presented the solution in class. I strongly advise that you read the exercise solutions if you want to get the most out of this book.
For the students of M.Sc (CS)/B.E./B.Tech Computer Science Engineering and Information Technology (CSE/IT)
For the students of M.Sc (CS)/B.E./B.Tech Computer Science Engineering and Information Technology (CSE/IT)
This classic text book provides a through learning of the fields of a modern editing and gives a clear exposition of its fundamental principles and applications. It covers such important topics design and editing. The book, with its contemporary approach and extensive coverage, would be invaluable to the students of Computer Science, Commerce, Biotechnology, English and professional in the field.
This classic text book provides a through learning of the fields of a modern editing and gives a clear exposition of its fundamental principles and applications. It covers such important topics design and editing. The book, with its contemporary approach and extensive coverage, would be invaluable to the students of Computer Science, Commerce, Biotechnology, English and professional in the field.
Data communications and networking presents a unique challenge for instructors and students. As both the number and types of students are increasing, it is essential to have a textbook that provides coverage of the latest advances, while presenting the material in a way that is accessible to students with little. Using a bottom-up approach, Data Communications and Networking presents this highly technical subject matter without relying on complex formulas by usin
Data communications and networking presents a unique challenge for instructors and students. As both the number and types of students are increasing, it is essential to have a textbook that provides coverage of the latest advances, while presenting the material in a way that is accessible to students with little. Using a bottom-up approach, Data Communications and Networking presents this highly technical subject matter without relying on complex formulas by using a strong pedagogical approach supported by more than 100 figures. Now in its First Edition, this textbook brings the beginning student right to the forefront of the latest advances in the field, while presenting the fundamentals in a clear, straightforward manner. Students will find better coverage, improved figures and better explanations on cutting-edge material. The "bottom-up" approach allows instructors to cover the material in one course, rather than having separate courses on data communications and networking.
This classic text book provides a through learning of the fields of a modern editing and gives a clear exposition of its fundamental principles and applications. It covers such important topics design and editing. The book, with its contemporary approach and extensive coverage, would be invaluable to the students of Computer Science, Commerce, Biotechnology, English and professional in the field.
This classic text book provides a through learning of the fields of a modern editing and gives a clear exposition of its fundamental principles and applications. It covers such important topics design and editing. The book, with its contemporary approach and extensive coverage, would be invaluable to the students of Computer Science, Commerce, Biotechnology, English and professional in the field.
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