Machine Learning In The Cloud Comparing Google Cloud Aws And Azure Apis
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Machine Learning In The Cloud Comparing Google Cloud Aws And Azure Apis
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date :
Machine Learning In The Cloud Comparing Google Cloud Aws And Azure Apis written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the full potential of machine learning with "Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs." This essential guide meticulously navigates through the intricate world of cloud-based ML APIs across the leading platforms—Google Cloud, AWS, and Azure. Whether you're a software developer, data scientist, IT professional, or business strategist, this book equips you with the knowledge to make informed decisions about implementing and managing these powerful tools in your projects. Dive deep into a comprehensive analysis and comparison of text processing, image recognition, speech recognition, and custom model building services offered by these giants. Understand the ins and outs of setting up, configuring, and optimizing these APIs for performance and scalability. Explore chapters dedicated to security, compliance, and real-life success stories that demonstrate the transformative impact of cloud-based ML across various industries. With practical guides, strategic insights, and current industry standards, this book is your roadmap to mastering cloud machine learning APIs, paving the way for innovative solutions that enhance competitiveness and efficiency. Embrace the future of artificial intelligence with this expertly crafted resource at your fingertips.
Machine Learning In The Cloud Comparing Google Cloud Aws And Azure Apis
DOWNLOAD
Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date :
Machine Learning In The Cloud Comparing Google Cloud Aws And Azure Apis written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the full potential of machine learning with "Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs." This essential guide meticulously navigates through the intricate world of cloud-based ML APIs across the leading platforms—Google Cloud, AWS, and Azure. Whether you're a software developer, data scientist, IT professional, or business strategist, this book equips you with the knowledge to make informed decisions about implementing and managing these powerful tools in your projects. Dive deep into a comprehensive analysis and comparison of text processing, image recognition, speech recognition, and custom model building services offered by these giants. Understand the ins and outs of setting up, configuring, and optimizing these APIs for performance and scalability. Explore chapters dedicated to security, compliance, and real-life success stories that demonstrate the transformative impact of cloud-based ML across various industries. With practical guides, strategic insights, and current industry standards, this book is your roadmap to mastering cloud machine learning APIs, paving the way for innovative solutions that enhance competitiveness and efficiency. Embrace the future of artificial intelligence with this expertly crafted resource at your fingertips.
Cloud Based Machine Learning
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Author : Tanushri Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Cloud Based Machine Learning written by Tanushri Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
As technology rapidly advances, machine learning emerges as a cornerstone in the tech industry, offering immense opportunities for various applications. From tracking performance metrics to monitoring behaviors, machine learning's versatility is enhanced by cloud services, making it an essential tool in today's world. Navigating this field can seem overwhelming, especially for newcomers. Without a solid understanding of problem-solving techniques, it’s like groping in the dark. This comprehensive guide aims to equip you with the knowledge needed to thrive. Good grasp of the subject can propel you forward in the industry, while a lack of understanding might hinder your progress. "Cloud-Based Machine Learning" demystifies the complexities of working with ML using cloud services. Whether you're a beginner or looking to deepen your expertise, this book provides the insights and skills necessary to succeed. We cover everything from basic concepts to advanced applications, ensuring you can effectively use ML in the cloud.
Cloud Computing Essentials A Practical Guide With Examples
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Author : William E. Clark
language : en
Publisher: Nobtrex LLC
Release Date : 2025-04-20
Cloud Computing Essentials A Practical Guide With Examples written by William E. Clark and has been published by Nobtrex LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-20 with Computers categories.
Cloud Computing Essentials: A Practical Guide with Examples delivers a clear and thorough introduction to the foundational technologies, architectures, and practical skills required for effective cloud adoption. Covering key concepts such as service models, virtualization, storage management, security, and automation, this book provides readers with systematic, step-by-step guidance through every stage of engaging with cloud platforms. The coverage is structured to address the needs of learners new to the field, offering detailed walkthroughs and real-world scenarios to facilitate hands-on understanding and immediate application. Each chapter is organized around essential aspects of cloud computing, from account setup and initial deployment to advanced topics such as continuous integration, cost management, and compliance requirements. Readers are introduced to major cloud providers, gain practical experience using popular platforms, and build the competence needed to choose and manage the right cloud models and services for varying project requirements. The book addresses both technical and operational concerns, ensuring a well-rounded perspective suited to diverse business and academic contexts. Ideal for students, technology professionals, and self-learners, this guide emphasizes clarity, precision, and practical relevance. On completion, readers will be equipped to confidently navigate cloud environments, implement secure and scalable solutions, and understand the broader implications of cloud technology adoption. Designed as a comprehensive resource for building foundational skills, the book supports both structured coursework and independent study in today’s rapidly evolving digital landscape.
Proceedings Of International Conference On Computational Intelligence
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Author : Ritu Tiwari
language : en
Publisher: Springer Nature
Release Date : 2023-07-12
Proceedings Of International Conference On Computational Intelligence written by Ritu Tiwari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-12 with Technology & Engineering categories.
The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 – 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
Serverless Architectures With Kubernetes
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Author : Onur Yılmaz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-29
Serverless Architectures With Kubernetes written by Onur Yılmaz and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.
Deploy, orchestrate, and monitor serverless applications using Kubernetes Key FeaturesGet hands-on experience with frameworks, such as Kubeless, Apache OpenWhisk, and FunktionMaster the basics of Kubernetes and prepare yourself for challenging technical assessmentsLearn how to launch Kubernetes both locally and in a public cloudBook Description Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. By learning Kubernetes, you’ll be able to design your own serverless architecture by implementing the function-as-a-service (FaaS) model. After an accelerated, hands-on overview of the serverless architecture and various Kubernetes concepts, you’ll cover a wide range of real-world development challenges faced by real-world developers, and explore various techniques to overcome them. You’ll learn how to create production-ready Kubernetes clusters and run serverless applications on them. You'll see how Kubernetes platforms and serverless frameworks such as Kubeless, Apache OpenWhisk and OpenFaaS provide the tooling to help you develop serverless applications on Kubernetes. You'll also learn ways to select the appropriate framework for your upcoming project. By the end of this book, you’ll have the skills and confidence to design your own serverless applications using the power and flexibility of Kubernetes. What you will learnDeploy a Kubernetes cluster locally with MinikubeGet familiar with AWS Lambda and Google Cloud FunctionsCreate, build, and deploy a webpage generated by the serverless functions in the cloudCreate a Kubernetes cluster running on the virtual kubelet hardware abstractionCreate, test, troubleshoot, and delete an OpenFaaS functionCreate a sample Slackbot with Apache OpenWhisk actionsWho this book is for This book is for software developers and DevOps engineers who have basic or intermediate knowledge about Kubernetes and want to learn how to create serverless applications that run on Kubernetes. Those who want to design and create serverless applications running on the cloud, or on-premise Kubernetes clusters will also find this book useful.
Advancements In Cloud Based Intelligent Informative Engineering
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Author : Kishor, Kaushal
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Advancements In Cloud Based Intelligent Informative Engineering written by Kishor, Kaushal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
In this ever-changing world, the rapid evolution of cloud computing and AI has paved the way for advancements in cloud-based intelligent engineering. This emerging field integrates cloud computing, big data, and AI to enhance the efficiency and automation of engineering processes. By leveraging cloud-based intelligent systems, industries can optimize data management, improve real-time collaboration, and drive innovation across various engineering domains. Advancements in Cloud-Based Intelligent Informative Engineering explores technological advancements and devices in cloud technology. It examines cloud-based intelligent system approaches and developments in informative engineering. This book covers topics such as IoT, machine learning, and blockchain, and is a useful resource for researchers, engineers, business owners, academicians, and scientists.
Data Science Neural Networks Deep Learning Llms And Power Bi
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Author : Jagdish Krishanlal Arora
language : en
Publisher: Jagdish Krishanlal Arora
Release Date : 2024-08-29
Data Science Neural Networks Deep Learning Llms And Power Bi written by Jagdish Krishanlal Arora and has been published by Jagdish Krishanlal Arora this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.
I wrote this book as I got an interview offer for Data Analyst. There they asked me a lot of questions and there was an exam. This helped me a lot to write the book based on the interview questions faced by me and the knowledge gained by working on AI projects. I then added all my other knowledge working as a Data Analyst on my other projects and wrote the book. Technical books need a lot of attention, as they need deep checks, but I tried to do my best. Not everything can be included in detail, it is impossible. I have tried to include everything related to Data Science that is presently going on in the industry and the world.
Cyber Physical Iot And Autonomous Systems In Industry 4 0
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Author : Vikram Bali
language : en
Publisher: CRC Press
Release Date : 2021-12-23
Cyber Physical Iot And Autonomous Systems In Industry 4 0 written by Vikram Bali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-23 with Computers categories.
This book addresses topics related to the Internet of Things (IoT), machine learning, cyber-physical systems, cloud computing, and autonomous vehicles in Industry 4.0. It investigates challenges across multiple sectors and industries and considers Industry 4.0 for operations research and supply chain management. Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 encourages readers to develop novel theories and enrich their knowledge to foster sustainability. It examines the recent research trends and the future of cyber-physical systems, IoT, and autonomous systems as they relate to Industry 4.0. This book is intended for undergraduates, postgraduates, academics, researchers, and industry individuals to explore new ideas, techniques, and tools related to Industry 4.0.
Generative Ai Cybersecurity And Ethics
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Author : Mohammad Rubyet Islam
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-09
Generative Ai Cybersecurity And Ethics written by Mohammad Rubyet Islam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
“Generative AI, Cybersecurity, and Ethics’ is an essential guide for students, providing clear explanations and practical insights into the integration of generative AI in cybersecurity. This book is a valuable resource for anyone looking to build a strong foundation in these interconnected fields.” —Dr. Peter Sandborn, Professor, Department of Mechanical Engineering, University of Maryland, College Park “Unchecked cyber-warfare made exponentially more disruptive by Generative AI is nightmare fuel for this and future generations. Dr. Islam plumbs the depth of Generative AI and ethics through the lens of a technology practitioner and recognized AI academician, energized by the moral conscience of an ethical man and a caring humanitarian. This book is a timely primer and required reading for all those concerned about accountability and establishing guardrails for the rapidly developing field of AI.” —David Pere, (Retired Colonel, United States Marine Corps) CEO & President, Blue Force Cyber Inc. Equips readers with the skills and insights necessary to succeed in the rapidly evolving landscape of Generative AI and cyber threats Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges. As GenAI continues to evolve, governments and private organizations around the world need to implement ethical and regulatory policies tailored to AI and cybersecurity. Generative AI, Cybersecurity, and Ethics provides concise yet thorough insights into the dual role artificial intelligence plays in both enabling and safeguarding against cyber threats. Presented in an engaging and approachable style, this timely book explores critical aspects of the intersection of AI and cybersecurity while emphasizing responsible development and application. Reader-friendly chapters explain the principles, advancements, and challenges of specific domains within AI, such as machine learning (ML), deep learning (DL), generative AI, data privacy and protection, the need for ethical and responsible human oversight in AI systems, and more. Incorporating numerous real-world examples and case studies that connect theoretical concepts with practical applications, Generative AI, Cybersecurity, and Ethics: Explains the various types of cybersecurity and describes how GenAI concepts are implemented to safeguard data and systems Highlights the ethical challenges encountered in cybersecurity and the importance of human intervention and judgment in GenAI Describes key aspects of human-centric AI design, including purpose limitation, impact assessment, societal and cultural sensitivity, and interdisciplinary research Covers the financial, legal, and regulatory implications of maintaining robust security measures Discusses the future trajectory of GenAI and emerging challenges such as data privacy, consent, and accountability Blending theoretical explanations, practical illustrations, and industry perspectives, Generative AI, Cybersecurity, and Ethics is a must-read guide for professionals and policymakers, advanced undergraduate and graduate students, and AI enthusiasts interested in the subject.