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  Advanced Java - From Beginner to...

  Laura Evans

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  "Advanced Java: From Beginner to Professional: Navigating the World of Java," is a textbook where any person aspiring to do Java programming can get very good master over the Java language. This book carries everything the Java programming learner needs to know or where an experienced programmer would require, all the way through from simple grammar to powerful programming techniques, but addresses every topic in the subject, right from setting it up and basic grammar on to very sophisticated coding. 
  It is a nice, clear overview of the Java ecosystem that starts off with a very solid foundation when it walks readers through key ideas like classes, inheritance, object-oriented programming, and encapsulation. 
  The book then develops into complex topics such as Java's collections framework, exception handling, multithreaded programs, and streams. This will ensure that all readers are equipped with effective, high-performance code to write. Every chapter follows a helpful task and many coding examples that will encourage readers to gain practical experience and repetition to reinforce the learning. 
  They will learn Java's Stream A-P-I, function programming, lambdas, method references, and functional interfaces. These are necessary if the reader wants clear and current Java code. And these skills will help an aspirant work as a professional developer since the focus here is on solving problems, which will involve use cases for Java in practice projects. 
  At the end of it all, the reader will be confident in and equipped with enough know-how to take up realistic applications, write robust programs that can be relied upon, and significantly contribute to the realm of software development. If you want to learn one of the world's toughest yet most versatile programming languages, "Advanced Java" is your bible.

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  Natural language processing -...

  Robert Patel

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  Step into the transformative world of Natural Language Processing (NLP) where human communication and machine intelligence converge. Discover an book that unveils the intricate dance of algorithms and linguistics, providing insights into the mesmerizing journey of decoding the complexities of human language. Immerse yourself in a narrative that intertwines theory, application, and innovation. 
  "Natural Language Processing: Decoding Human Language" isn’t just a reading experience but a voyage through the multi-dimensional realms of language comprehension and artificial intelligence. Each chapter is meticulously crafted, unraveling the nuances of linguistic structures, the sophistication of algorithms, and unveiling applications that are reshaping the world. From the foundational elements of language structure to the avant-garde innovations in machine learning, neural networks, and beyond - every page is a revelation, every chapter a gateway to a new world of knowledge. 
  Imagine grasping the art and science that empowers virtual assistants, enables real-time translations, and unlocks insights from vast repositories of unstructured text. Envision possessing the expertise to contribute to a field that’s not just a technological revolution, but a renaissance of human-machine interaction, communication, and accessibility. With practical insights, real-world applications, and explorative journeys into future trends and opportunities, this book is not just about understanding NLP but mastering it. 
  Embark on this enlightening adventure and transform your perspective on language, technology, and human interaction. Immerse yourself in a world where language meets computation, where human expressions are deciphered by algorithms, and where every sentence, word, and syllable opens new frontiers of understanding, innovation, and opportunity.

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  Digital Earth - Cyber threats...

  Sarah Katz

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  Digital Earth – Cyber threats, privacy and ethics in an age of paranoia
  Whether it's the next big ransomware attack or cyber terrorism, digital threats have evolved drastically in recent years. Issues surrounding phishing, misinformation, cyber terrorism, physical security, and privacy continue to arise for both individual users and large enterprises.
  With technology an intrinsic part of our everyday lives, we need to be aware of digital threats, and be able to identify other threats such as phishing, ransomware, and spyware before they can wreak havoc in our professional or personal lives.
  This book discusses the most prevalent technological threats that we face today. It is an accessible guide that highlights the most common cyber attacks, and explores data ethics and privacy in an age where we hold so much of our PII (personally identifiable information) online.
  It covers cyber threats such as phishing, disinformation versus misinformation in a post-COVID-19 world, cyber terrorism, and the power of social media, and analyzes ever-evolving privacy concerns in response to technological advances. For example, does the use of drones by law enforcement offer us complete security or raise questions around the privacy of citizens?
  The book focuses on:
  
  - The spike in phishing amid the COVID-19 pandemic
  - Cyber terrorism
  - The risks associated with social media
  - Whether drones are a search-and-rescue solution or the all-seeing eye in the sky

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  The Art of Machine Learning -...

  Evelyn Hartwell

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  In a time when technology is the driving force behind innovation, combining machine learning and human intelligence stands out as the most revolutionary force influencing our future. Knowing this mutually beneficial relationship is essential whether you're a professional, a student, or just interested in the tech-driven society you live in. 
  Explore the fascinating history of machine learning, from its early phases in the 20th century to its modern uses and ethical dilemmas. Learn how it reflects, enhances, and occasionally contradicts the complexities of human thought. This book provides a thorough yet approachable overview of machine learning, covering everything from the algorithms that drive your preferred online platforms to the ethical considerations that direct AI's development. 
  This book thoroughly comprehends machine learning concepts, investigates computational learning and human intelligence, and participates in conversations on ethics, society, and philosophy. It also imparts tech expertise to its readers. 
  Discover the secrets of the modern era's most revolutionary technical phenomenon. Give yourself the knowledge, perspective, and insights necessary to succeed in the digital age. Get started on a journey of learning and discovery by diving into "The Art of Machine Learning: Bridging Human Intelligence and Automated Learning" today.

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  Programming - Learn Assembly...

  Jonathan Rigdon

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  This book consists of two titles, which are the following: 
  1 - Assembly language is often considered a bridge between high-level programming languages and machine code. Unlike high-level languages such as Python or C, which use human-readable syntax and abstract away many details of the underlying hardware, assembly language provides a more direct representation of the CPU's operations. Each assembly language instruction corresponds to a specific operation that the CPU can perform, such as loading data from memory, performing arithmetic calculations, or branching based on conditions. These instructions are typically represented using mnemonic codes, which are easier for humans to understand compared to the binary machine code instructions that the CPU actually executes. 
  2 - Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

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  Mastering Machine Learning: A...

  Rachel Chen

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  Anyone hoping to succeed in the rapidly expanding field of artificial intelligence will find "Mastering Machine Learning: A Blueprint for Success in the AI Era: Practical Techniques, Tools, and Strategies for Building Intelligent Systems" to be an invaluable resource. The book offers a comprehensive examination of machine learning, covering everything from its most basic applications to its underlying concepts. Its authors have an excellent knowledge of both the novice and seasoned expert. 
  The way the book is organized offers a thorough educational experience. It starts by providing a strong foundation in fundamental ideas, including selecting an algorithm, preparing data, and evaluating models. After that, readers are led through increasingly difficult subjects, including natural language processing, reinforcement learning, and deep learning. Every component is designed to be extremely practical, with examples from real-world situations and detailed instructions that promote hands-on learning. 
  "Mastering Machine Learning" explores the strategic and ethical aspects of artificial intelligence in addition to its technological aspects. It covers important topics, including project management, moral AI behavior, and how to effectively convey AI discoveries to stakeholders who aren't technical. This all-encompassing method guarantees that readers will be able to create complex machine-learning models and be ready to apply them ethically and successfully in a range of professional settings. 
  The book is a vital toolset for data scientists, engineers, and business executives alike because of its unique combination of theory, useful methodologies, and strategic advice. As a definitive manual for thriving in the AI era, "Mastering Machine Learning" stands out for providing readers with the necessary abilities and mentality.

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