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Authors: Rohit Ranjan (2024) - Explore the link between microservices and ML in Microservices for Machine Learning. Through this book, you will learn to build scalable systems by understanding modular software construction principles. You will also discover ML algorithms and tools like TensorFlow and PyTorch for developing advanced models
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Authors: Hayden Van Der Post (2024) - "Python Revolution: The Power of Data Science in Finance" is an indispensable resource for those looking to delve into the dynamic intersection of machine learning and financial analysis. This comprehensive guide demystifies the intricacies of machine learning, positioning you at the forefront of financial innovation.
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Authors: Rajender Kumar (2023) - This book is perfect for beginners who are new to machine learning and want to learn Scikit-Learn from scratch. It is also ideal for intermediate and advanced users who want to expand their knowledge and build more complex models.
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Authors: Yuan Tang (2024) - Inside Distributed Machine Learning Patterns you'll learn to apply established distributed systems patterns to machine learning projects--plus explore cutting-edge new patterns created specifically for machine learning. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Hands-on projects and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines
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Authors: Khan, Nikhat Raza (2024) - In this comprehensive ebook, you will embark on a journey through the world of Java, exploring the latest features and cutting-edge frameworks that are reshaping the way developers build software. Starting with a solid foundation in core Java concepts, you will quickly progress to more advanced topics, gaining a deeper understanding of Java's capabilities and harnessing its full potential.Discover the magic of Java frameworks, including the ever-popular Spring Framework, which empowers you to build enterprise-level applications effortlessly. Dive into Hibernate ORM, and learn how to effortlessly map Java objects to relational databases. With the help of Apache Maven, you will streamline your project's build and dependency management, saving time and effort.
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Authors: Ramirez Diniz; Paulo Sergio (2024) - Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc
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Authors: Cay Horstmann (2024) - In this book you will find lots of sample code demonstrating almost every language and library feature. The sample programs are purposefully simple to focus on the major points, but, for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code.
I assume you are willing, even eager, to learn about all the features that the Java language puts at your disposal. In this volume, you will find a detailed treatment of
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Authors: Mohammad S. Obaidat (2024) - The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT syst...
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Authors: Karan Singh (2024) - Artificial intelligence (AI) and machine learning (ML) are two areas of computer science that have seen drastic advancement in recent years. Keeping track of this rapid development, this book, Advanced Computer Science Applications: Recent Trends in AI, Machine Learning, and Network Security, brings together the most recent trends related to AI, ML and Network Security. The book consists of three parts with each part focusing on a specific aspect of AI, machine learning, and network security. The chapters cover such diverse topics including machine learning algorithms and security analytics, AI and machine learning, and network security applications. The book presents a variety of design algorithms including convolutional neural networks (CNN), random forest algorithm, k-nearest nei...
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Authors: Amina Al-Marzouqi (2024) - This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning.
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