Practical Machine Learning From Pictures To The Cloud 2025
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Practical Machine Learning From Pictures To The Cloud 2025
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Author : AUTHOR:1-Praneet Amul Akash Cherukuri AUTHOR:2-Dr. Santosh Kumar Henge
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Practical Machine Learning From Pictures To The Cloud 2025 written by AUTHOR:1-Praneet Amul Akash Cherukuri AUTHOR:2-Dr. Santosh Kumar Henge and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The past decade has moved machine learning from academic curiosity to an invisible utility pulsing through every photograph we snap and every swipe we make. A face unlocks a phone, a drone inspects a bridge, a doctor consults an algorithm before a diagnosis—all powered by models that see, learn, and act in real time. Yet for students and engineers stepping into the field, the journey from inquisitive “Hello-world” notebook to a production-grade model running on an edge device or a cloud endpoint can feel disjointed and opaque. Practical Machine Learning: From Pictures to the Cloud was born of that gap. In our classrooms and industry collaborations at S R University, we watched learners master isolated concepts—convolutional layers, hyper-parameter tuning, REST APIs—without a blueprint that tied them together. This book offers that blueprint. We start with raw pixels, guide you through feature engineering and modern deep-learning architectures, and then scale the conversation outward: how to train responsibly, deploy at cloud scale, monitor for drift, and govern for fairness and privacy. What makes the text “practical” is its bias toward end-to-end reproducibility. Every chapter couple’s theory with hands-on labs drawn from real engagements in health care, smart cities, retail, and autonomous systems. Code examples ship as containerised notebooks; pipeline diagrams map directly to the managed services of AWS, Google Cloud, Azure, and open-source stacks like Kubeflow and Feast. Whether your workstation is a laptop or a GPU cluster, you can follow the same lifecycle we use in production. Equally vital is the ethical lens threaded throughout. As image models grow more capable, they also magnify risks—bias, surveillance, ecological cost. You will find checklists, case studies, and policy references alongside optimisation tricks, because robustness and responsibility are no longer optional extras; they are success criteria. The book is organised in three movements: 1. Seeing – fundamentals of image data, classical vision, and modern convolutional/transformer networks. 2. Learning – advanced training techniques, transfer learning, hyper-parameter tuning, and explainability. 3. Serving – scalable pipelines, cloud deployment, edge inference, monitoring, cost governance, and compliance. Our intended audience spans senior undergraduates, graduate students, and practitioners who know basic Python and linear algebra but want to take the leap into full-stack machine-learning engineering. We owe gratitude to our students, whose incisive questions shaped the narrative, and to industry partners who opened their architectures for case studies. Any errors that remain are ours alone. We hope this book becomes your desk companion as you turn pixels into insights and models into value—responsibly, reproducibly, and at scale. Authors
Foundations And Practice Of Security
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Author : Kamel Adi
language : en
Publisher: Springer Nature
Release Date : 2025-06-19
Foundations And Practice Of Security written by Kamel Adi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
This two-volume set constitutes the refereed proceedings of the 17th International Symposium on Foundations and Practice of Security, FPS 2024, held in Montréal, QC, Canada, during December 09–11, 2024. The 28 full and 11 short papers presented in this book were carefully reviewed and selected from 75 submissions. The papers were organized in the following topical sections: Part I: Critical issues of protecting systems against digital threats,considering financial, technological, and operational implications; Automating and enhancing security mechanisms in software systems and data management; Cybersecurity and AI when applied to emerging technologies; Cybersecurity and Ethics; Cybersecurity and privacy in connected and autonomous systems for IoT, smart environments, and critical infrastructure; New trends in advanced cryptographic protocols. Part II: Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace; Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats; New trends of machine leaning and AI applied to cybersecurity.
Artificial Intelligence In Practice
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Author : S.S. Iyengar
language : en
Publisher: Springer Nature
Release Date : 2025-05-29
Artificial Intelligence In Practice written by S.S. Iyengar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Technology & Engineering categories.
This book provides a comprehensive exploration of how Artificial Intelligence (AI) is being applied in the fields of cyber security and digital forensics. The book delves into the cutting-edge techniques that are reshaping the way we protect and investigate digital information. From identifying cyber threats in real-time to uncovering hidden evidence in complex digital cases, this book offers practical insights and real-world examples. Whether you’re a professional in the field or simply interested in understanding how AI is revolutionizing digital security, this book will guide you through the latest advancements and their implications for the future. Includes application of AI in solving real cyber security and digital forensics challenges, offering tangible examples; Shows how AI methods from machine / deep learning to NLP can be used for cyber defenses and in forensic investigations; Explores emerging trends and future possibilities, helping readers stay ahead of the curve in a rapidly evolving field.
Advanced Practices In Auditing Regulatory Compliance And Smart Manufacturing Systems
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Author : Dwaraka Nath Kummari
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10
Advanced Practices In Auditing Regulatory Compliance And Smart Manufacturing Systems written by Dwaraka Nath Kummari and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Business & Economics categories.
In today’s rapidly evolving industrial landscape, the convergence of advanced auditing practices, stringent regulatory compliance, and smart manufacturing systems is reshaping how organizations operate and thrive. This book, Advanced Practices in Auditing, Regulatory Compliance, and Smart Manufacturing Systems, serves as a comprehensive guide for professionals, researchers, and students navigating this complex, interconnected domain. The integration of Industry 4.0 technologies—such as IoT, AI, big data analytics, and cyber-physical systems—has transformed traditional manufacturing into intelligent, adaptive ecosystems. These advancements demand not only innovative operational strategies but also robust auditing frameworks and unwavering compliance with global standards and regulations. Failure in any of these areas can expose enterprises to significant risks, both financial and reputational. This book explores cutting-edge auditing methodologies designed to provide real-time assurance in smart environments, highlights evolving compliance landscapes, and examines how digital transformation enhances or complicates regulatory adherence. It bridges the gap between theoretical principles and real-world implementation, offering practical insights, case studies, and tools for managing modern-day challenges. Each chapter has been curated to provide clarity, foster critical thinking, and encourage the integration of ethical and sustainable practices. Our aim is to empower readers with the knowledge and capabilities required to lead with confidence in the era of smart manufacturing. We hope this book contributes meaningfully to your understanding and inspires proactive engagement in building secure, compliant, and innovative industrial futures.
Elastic Kubernetes Service In Practice
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-29
Elastic Kubernetes Service In Practice written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
"Elastic Kubernetes Service in Practice" "Elastic Kubernetes Service in Practice" is a comprehensive guide designed to help engineers, architects, and DevOps professionals navigate the full lifecycle of Kubernetes workloads running on AWS. Beginning with an in-depth exploration of EKS fundamentals and architecture, the book establishes a strong foundation by demystifying the synergy between Kubernetes and AWS, covering everything from control plane operations to node group architectures, resource management, and secure IAM integration. Readers learn to harness AWS-native tools and best practices for scalable, secure, and compliant cluster management. As the journey progresses, the book moves into advanced operational topics including cluster provisioning and automation, multi-cluster and multi-tenancy design, cost and performance optimization, and disaster recovery strategies. Chapters dedicated to networking, load balancing, and security provide actionable insights into VPC and CNI customization, ingress management, pod isolation, and runtime protection. In-depth coverage of storage architectures, observability, and centralized logging ensures that practitioners can build resilient, audited, and performant applications aligned with enterprise requirements. The narrative further extends into modern workload patterns and delivery ecosystems, offering hands-on guidance for deployment best practices, CI/CD automation, GitOps, and integration with AWS-native services. "Elastic Kubernetes Service in Practice" concludes by examining emerging trends in serverless Kubernetes, hybrid cloud strategies, and machine learning at scale, empowering readers to confidently architect, secure, and operate EKS clusters in both present-day and future-ready AWS environments.
Utilizing Ai And Machine Learning In Financial Analysis
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
Convergence Of Internet Of Medical Things Iomt And Generative Ai
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Author : Kumar, V. Vinoth
language : en
Publisher: IGI Global
Release Date : 2025-02-05
Convergence Of Internet Of Medical Things Iomt And Generative Ai written by Kumar, V. Vinoth and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable devices and apps connected within the network to provide health information. Generative AI revolutionizes global health in areas like medical data synthesis, image enhancement, disease prediction and diagnosis, drug discovery, medical documentation, and personalized healthcare. It offers opportunities to overcome data scarcity and privacy concerns through synthetic data generation and supports accurate disease interpretation and diagnosis through image quality enhancement. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.
Deep Learning For 3d Point Clouds
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Author : Wei Gao
language : en
Publisher: Springer Nature
Release Date : 2024-12-06
Deep Learning For 3d Point Clouds written by Wei Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc. Thanks to the great developments of deep learning theories and methods, 3D point cloud technologies have undergone fast growth during the past few years, including diverse processing and understanding tasks. Human and machine perception can be benefited from the success of using deep learning approaches, which can significantly improve 3D perception modeling and optimization, as well as 3D pre-trained and large models. This book delves into these research frontiers of deep learning-based point cloud technologies. The subject of this book focuses on diverse intelligent processing technologies for the fast-growing 3D point cloud applications, especially using deep learning-based approaches. The deep learning-based enhancement and analysis methods are elaborated in detail, as well as the pre-trained and large models with 3D point clouds. This book carefully presents and discusses the newest progresses in the field of deep learning-based point cloud technologies, including basic concepts, fundamental background knowledge, enhancement, analysis, 3D pre-trained and large models, multi-modal learning, open source projects, engineering applications, and future prospects. Readers can systematically learn the knowledge and the latest developments in the field of deep learning-based point cloud technologies. This book provides vivid illustrations and examples, and the intelligent processing methods for 3D point clouds. Readers can be equipped with an in-depth understanding of the latest advancements of this rapidly developing research field.
Proceedings Of 17th International Conference On Machine Learning And Computing
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Author : Lin Huang
language : en
Publisher: Springer Nature
Release Date : 2025-08-17
Proceedings Of 17th International Conference On Machine Learning And Computing written by Lin Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-17 with Computers categories.
This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, industry professionals, and engineers working in the related fields of machine learning and computing.
Modern Intelligent Techniques For Image Processing
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Author : Bhatti, Uzair Aslam
language : en
Publisher: IGI Global
Release Date : 2025-04-29
Modern Intelligent Techniques For Image Processing written by Bhatti, Uzair Aslam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.
Modern intelligent techniques, such as deep learning, neural networks, and computer vision algorithms, enable systems to automatically detect patterns, classify objects, and generate high-quality images. With the ability to process vast amounts of visual data, intelligent image processing transforms industries in healthcare, where it aids in techniques like medical imaging analysis or autonomous driving. It ensures real-time object recognition and navigation. Further research into image processing may reveal what these machines can understand and create, making it more efficient, accurate, and versatile. Modern Intelligent Techniques for Image Processing explores modern intelligent techniques for image processing, offering both theoretical foundations and hands-on applications. It examines the way images are analyzed, interpreted, and utilized across various domains including healthcare, autonomous vehicles, security, and entertainment. This book covers topics such as biometrics, image segmentation, and data annotation, and is a useful resource for computer engineers, medical and healthcare professionals, data scientists, academicians, and researchers.