Python Debugging For Ai Machine Learning And Cloud Computing
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Python Debugging For Ai Machine Learning And Cloud Computing
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Author : Dmitry Vostokov
language : en
Publisher:
Release Date : 2024
Python Debugging For Ai Machine Learning And Cloud Computing written by Dmitry Vostokov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you'll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You'll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performance degradation. This includes tracing, logging, and analyziing memory dumps using native WinDbg and GDB debuggers. Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, machine learning, and cloud computing applications. You will: Employ a pattern-oriented approach to Python debugging that starts with diagnostics of common software problems Use tips and tricks to get the most out of popular IDEs, notebooks, and command-line Python debugging Understand Python internals for interfacing with operating systems and external modules Perform Python memory dump analysis, tracing, and logging.
Artificial Intelligence And Security
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Author : Xingming Sun
language : en
Publisher: Springer
Release Date : 2019-07-18
Artificial Intelligence And Security written by Xingming Sun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-18 with Computers categories.
The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity.
Text Book Of Artificial Intelligence
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Author : Dr. Rakesh Singh, Dr. Shuchi Dave, Prof. Sushil K. Kashaw, Prof. (Dr.) Sandeep Gangrade, Lalbihari Barik
language : en
Publisher: Shashwat Publication
Release Date : 2025-04-25
Text Book Of Artificial Intelligence written by Dr. Rakesh Singh, Dr. Shuchi Dave, Prof. Sushil K. Kashaw, Prof. (Dr.) Sandeep Gangrade, Lalbihari Barik and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Fiction categories.
Textbook of Artificial Intelligence is a comprehensive guide for students, educators, and professionals seeking foundational and advanced knowledge in AI. It begins with a clear definition and history of Artificial Intelligence, helping readers understand its roots and evolution. The book explores real-world applications of AI across various industries including healthcare, finance, education, and autonomous systems. Core AI branches like Machine Learning, Deep Learning, NLP, Robotics, and Computer Vision are introduced with practical insights. In-depth coverage of Intelligent Agents explains their structure, types, and operating environments. The Problem Solving section walks readers through classic algorithms like BFS, DFS, A*, and adversarial search techniques. Knowledge Representation and Reasoning introduces propositional logic, predicate logic, semantic nets, and uncertainty models like Bayesian networks. Machine Learning fundamentals cover supervised, unsupervised, and reinforcement learning, alongside key algorithms and neural networks. Advanced topics like CNNs, RNNs, Transformers, GANs, and NLP tasks are well-structured for deeper understanding. Dedicated chapters on AI in real-world applications showcase use cases in robotics, vision, and recommender systems. Hands-on tools like TensorFlow, PyTorch, Keras, and data handling with Pandas and NumPy are introduced for practical learning. The book encourages ethical thinking with discussions on AI fairness, privacy, transparency, and regulation. A special focus on the future of AI covers trends like generative models, autonomous agents, and human-AI collaboration. Well-organized content helps learners connect theory to practical implementation and innovation. Step-by-step examples and algorithm breakdowns make complex topics easy to understand. Each chapter includes conceptual summaries, illustrations, and review questions for better retention. Perfect for beginners and intermediate learners, as well as educators designing AI curricula. Prepares students for research and industry careers with real-world insights and project ideas. Bridges the gap between traditional AI principles and modern AI technologies. A valuable reference for anyone passionate about building intelligent systems and exploring the world of AI.
Social Data Analytics In The Cloud With Ai
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Author : Xuebin Wei
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Social Data Analytics In The Cloud With Ai written by Xuebin Wei and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Technology & Engineering categories.
The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering textbook provides a gateway for students, educators, and professionals to develop and enhance social data analytics capabilities with the latest cloud computing and AI technologies. The textbook introduces educational cloud resources from leading technology companies, begins with foundational concepts, and progresses to advanced techniques. Features The first textbook on cloud-based social data analytics with the assistance of Generative AI. Introduces educational cloud resources from leading technology companies like AWS, GitHub, and MongoDB. Presents a fully AI-powered data analytics pipeline from Python coding to data collection with APIs, cloud-based data storage, natural language queries, and interactive visualization. Analyzes Census and social media data with the latest large language models (LLMs). Provides hands-on exercises with real-world datasets on timely issues. This textbook is an excellent resource for upper-level undergraduate and graduate students taking GIS, Urban Informatics, Social Science Data Analysis, and Data Science courses; faculty members teaching such courses; and professionals and researchers interested in leveraging cloud computing and Generative AI in social data analytics.
Generative Ai Foundations Models And Applications
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Author : Dr. K. VANITHA SIDAMBARANATHAN
language : en
Publisher: NC Publishers
Release Date : 2025-10-15
Generative Ai Foundations Models And Applications written by Dr. K. VANITHA SIDAMBARANATHAN and has been published by NC Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-15 with Antiques & Collectibles categories.
“Generative AI: Foundations, Models, and Applications” provides a comprehensive exploration of one of the most transformative areas of artificial intelligence. Designed for students, researchers, educators, and professionals, this book offers a balanced blend of theory, models, and real-world use cases of generative AI. The text begins by introducing the “fundamentals of generative modeling”, covering the mathematical and conceptual underpinnings that make generative AI possible. It then progresses into a detailed study of prominent models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, Large Language Models (LLMs), and Multimodal Systems. Beyond the foundations, the book emphasizes the practical applications of generative AI across industries—ranging from natural language processing, computer vision, and healthcare to education, creative arts, business innovation, and scientific research. Ethical considerations, challenges, and future trends are also discussed, equipping readers to critically analyze the opportunities and risks of this rapidly evolving field. With clear explanations, case studies, and an application-driven perspective, this book serves as both an academic resource and a practical guide for those seeking to understand and leverage generative AI in real-world contexts.
Applied Machine Learning And Deep Learning Architectures And Techniques
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-13
Applied Machine Learning And Deep Learning Architectures And Techniques written by Nitin Liladhar Rane 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 2024-10-13 with Computers categories.
This book provides an extensive overview of recent advances in machine learning (ML) and deep learning (DL). It starts with a comprehensive introduction to the latest architectural and design practices, with an overview of basic techniques and optimization algorithms and methodologies that are fundamental to modern ML/DL development followed by the tools and frameworks that are driving innovation in ML/DL. The presentation then points to the central position of ML and DL in developing generative AI like ChatGPT. Then look at different industrial applications such as explaining the real-world impacts of each. This includes challenges around corroborate artificial Intelligence (AI), and trustworthy AI, and so on. Finally, the book presents a futuristic vision on the potentials and implications of future ML and DL architectures, making it an ideal guide for researchers, practitioners and industry professionals. This book will be a significant resource for comprehending present advancements, addressing encounter challenges, and traversing the ML and DL landscape in future, making it an indispensable reference for anyone interested in applying these technologies across sectors.
Paas Iaas And Saas Complete Cloud Infrastructure
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2023
Paas Iaas And Saas Complete Cloud Infrastructure written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Computers categories.
Introducing the Ultimate Cloud Infrastructure Mastery Bundle: PaaS, IaaS, and SaaS - Your Complete Guide from Beginner to Expert! 🌟 Are you ready to skyrocket your cloud expertise? 🌟 Unlock the power of Terraform, GCE, AWS, Microsoft Azure, Kubernetes, and IBM Cloud with this all-encompassing 12-in-1 book bundle! 📘 What's Inside: 1️⃣ "Terraform Essentials": Master infrastructure as code. 2️⃣ "Google Cloud Engine Mastery": Harness Google's cloud power. 3️⃣ "AWS Unleashed": Dominate Amazon Web Services. 4️⃣ "Azure Mastery": Excel with Microsoft's cloud. 5️⃣ "Kubernetes Simplified": Conquer container orchestration. 6️⃣ "IBM Cloud Mastery": Navigate IBM's cloud solutions. 7️⃣ Plus, 5 more essential guides! 🚀 Why Choose Our Bundle? ✅ Comprehensive Learning: From beginner to expert, this bundle covers it all. ✅ Real-World Application: Practical insights for real-world cloud projects. ✅ Step-by-Step Guidance: Clear and concise instructions for every skill level. ✅ Time-Saving: Get all the knowledge you need in one place. ✅ Stay Current: Up-to-date content for the latest cloud technologies. ✅ Affordable: Save big compared to buying individual books! 🔥 Unlock Limitless Possibilities: Whether you're an aspiring cloud architect, a seasoned developer, or a tech enthusiast, this bundle empowers you to: 🌐 Build scalable and efficient cloud infrastructures. 🚀 Deploy and manage applications effortlessly. 📊 Optimize cloud costs and resources. 🔄 Automate repetitive tasks with Terraform. 📦 Orchestrate containers with Kubernetes. 🌩️ Master multiple cloud platforms. 🔐 Ensure security and compliance. 💡 What Our Readers Say: 🌟 "This bundle is a game-changer! I went from cloud novice to cloud expert in no time." 🌟 "The step-by-step guides make complex topics easy to understand." 🌟 "The knowledge in these books is worth every penny. I recommend it to all my colleagues." 🎁 BONUS: Exclusive access to resources, updates, and a community of fellow learners! 🌈 Embark on your cloud journey today! Don't miss out on this limited-time opportunity to become a cloud infrastructure expert. 👉 Click "Add to Cart" now and elevate your cloud skills with the PaaS, IaaS, and SaaS: Complete Cloud Infrastructure bundle! 🔥
Artificial Intelligence For Urban Planning
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Author : Thomas W. Sanchez
language : en
Publisher: Taylor & Francis
Release Date : 2025-09-22
Artificial Intelligence For Urban Planning written by Thomas W. Sanchez and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-22 with Architecture categories.
This book aims to introduce planners to AI, outlining essential concepts, terminologies, and methodologies. AI now promises to reshape urban planning, but as with many technological innovations, AI also introduces ethical, practical, and organizational challenges. Understanding both AI’s current capabilities and its limitations is essential for planners, even as we acknowledge the rapid and unpredictable nature of its evolution. Chapters address some of these complexities, not by providing definitive answers, but by introducing urban planners to core AI topics. The book shows how planners can effectively use AI in their daily practices, engage constructively with technical specialists, and critically assess the appropriateness of these technologies in different planning contexts. This book will be of interest to both urban planning professionals and researchers.
Iot Uav Bci Empowered Deep Learning Models In Precision Agriculture
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Author : José Dias Pereira
language : en
Publisher: Frontiers Media SA
Release Date : 2024-05-10
Iot Uav Bci Empowered Deep Learning Models In Precision Agriculture written by José Dias Pereira and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Science categories.
Machine vision applications in precision agriculture have attracted a great deal of attention. They focus on monitoring, protection, and management of various plant populations. These applications have shown potential value in reforming crucial components of plant production, including fine-grained ripeness recognition of all kinds of plants and detecting and classifying weeds, seeds, and pests for crop health, quality, and quantity enhancement. In recent decades, the extensive achievements of deep learning techniques have shown significant opportunities for almost all fields. Accordingly, many deep learning models have been presented for different types of images and have achieved promising outcomes. The deep learning-based approaches can contribute to gaining insights into the plants' inherent characteristics and the surrounding environmental elements. This research topic's primary value is providing a platform for deep learning-based applications for precision agriculture. These applications can be fairly evaluated and compared with each other. Accordingly, more effective and efficient detection and classification approaches for precision agriculture can be developed or optimized.
Textual Intelligence
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Author : Meenakshi Malik
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-23
Textual Intelligence written by Meenakshi Malik 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 2025-07-23 with Computers categories.
The book is a must-have resource for anyone looking to understand the complexities of generative AI, offering comprehensive insights into LLMs, effective training strategies, and practical applications. Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book: Explores the real-world potential of large language models; Introduces industry-changing AI solutions; Provides advanced insights on AI and its models. Audience Industry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI.