Ara Husn (95 results)

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Paperback. Condition: new. Paperback. You Can Do AI: How Non-Coders Can Create, Design & Automate with AI ToolsNo coding? No problem.You Can Do AI is the ultimate beginner-friendly guide for creators, entrepreneurs, educators, and professionals who want to harness the power of AI-without writing a single line of code.Discover how to: Build websites, apps, and workflows using no-code AI platformsCreate content, marketing copy, and social media posts in minutesAutomate daily tasks with tools like ChatGPT, Zapier, Canva AI, and moreUse AI for design, writing, video creation, education, and businessStay ahead in your field without needing a tech backgroundWhether you're launching a side hustle, streamlining your workload, or just exploring what's possible, this book gives you real tools, real examples, and real results-no jargon, no hype. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. Mastering Kubernetes: Real-World Strategies for Scalable AppsDescription: Unlock the full power of Kubernetes and learn how to run scalable, reliable, and production-ready applications.Mastering Kubernetes goes beyond the basics to teach you how Kubernetes works in the real world. This book covers advanced topics like multi-cluster architecture, security best practices, GitOps, Helm, service meshes, and scaling strategies for high-traffic workloads.You'll learn how to design fault-tolerant systems, optimize performance, and manage infrastructure at scale-backed by practical examples, proven patterns, and real-world use cases from production environments.Whether you're a DevOps engineer, cloud architect, or senior developer, this guide gives you the tools and strategies to run Kubernetes with confidence in mission-critical environments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. Kubernetes Mastery: Deploy, Manage & Scale Containers is a comprehensive guide for mastering Kubernetes, the industry-standard container orchestration platform. This book covers everything from the fundamentals of containerization to advanced deployment strategies, ensuring you can efficiently manage and scale applications in production environments.You'll learn how to set up Kubernetes clusters, deploy applications using YAML configurations, manage networking and storage, implement security best practices, and leverage automation for scaling and monitoring. Whether you're a developer, DevOps engineer, or system administrator, this book provides hands-on insights and real-world examples to help you navigate Kubernetes with confidence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Quantum Computing in AI: Unlocking the Future of Intelligent SystemsDiscover how quantum computing is revolutionizing artificial intelligence in Quantum Computing in AI. This groundbreaking book explores the intersection of quantum mechanics and machine learning, unveiling the immense potential of quantum algorithms to supercharge AI applications. From quantum-enhanced neural networks to optimization breakthroughs, this guide provides a deep dive into the future of computing.Ideal for researchers, AI enthusiasts, and tech professionals, this book simplifies complex concepts, making quantum AI accessible to all. Stay ahead of the curve and explore how quantum computing is shaping the next generation of intelligent systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Neural Networks Unlocked: From Basics to Advanced AI is your ultimate guide to understanding and mastering neural networks. Whether you're a beginner exploring the fundamentals or an advanced AI enthusiast diving into deep learning architectures, this book provides a comprehensive, hands-on approach to neural networks.Inside, you'll learn about perceptrons, feedforward networks, backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and more. With real-world examples, step-by-step coding tutorials (using TensorFlow and PyTorch), and practical applications in computer vision, natural language processing, and reinforcement learning, this book equips you with the skills to build and optimize AI models.Key Highlights: Beginner-Friendly Introduction - Understand the math and logic behind neural networks. Hands-On Projects - Implement AI models with Python, TensorFlow, and PyTorch. Advanced Architectures - Explore CNNs, RNNs, GANs, and transformers. Real-World Applications - Solve problems in healthcare, finance, robotics, and more. Optimization Techniques - Learn hyperparameter tuning, transfer learning, and model deployment.Perfect for AI developers, data scientists, and machine learning enthusiasts, Neural Networks Unlocked helps you transform theory into practical AI solutions.Get ready to unlock the full potential of neural networks and advance your AI expertise! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. MLOps Mastery: From Model to Production is a hands-on guide for data scientists, machine learning engineers, and DevOps practitioners looking to take their machine learning models from the research phase into production. This book provides practical, actionable insights into the entire machine learning lifecycle, from model development to deployment, monitoring, and continuous improvement.Through real-world examples and step-by-step instructions, you will learn how to integrate MLOps practices into your workflow, automating the model deployment process, building scalable pipelines, and ensuring seamless collaboration across cross-functional teams.Covering essential topics such as model versioning, data management, experiment tracking, and performance monitoring, this book emphasizes the importance of robust, repeatable processes in managing the operational aspects of machine learning. You will also explore key MLOps tools and frameworks like Kubernetes, Docker, TensorFlow, and MLflow, and how to use them to streamline model deployment and scaling.Whether you're new to MLOps or looking to refine your existing practices, MLOps Mastery provides a comprehensive roadmap to mastering the complexities of bringing machine learning models to production in a sustainable and reliable way.Key Features: In-depth coverage of MLOps principles and practicesStep-by-step guides to automating and managing ML workflowsReal-world examples using popular tools and frameworksBest practices for model deployment, scaling, and monitoringInsights into collaboration between data scientists, engineers, and business teamsMLOps Mastery is the definitive guide for transforming your machine learning models into production-ready, business-impacting solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Practical MLOps: Operationalizing Machine Learning Models is a hands-on guide for data scientists, machine learning engineers, and DevOps practitioners looking to take their machine learning models from the research phase into production. This book provides practical, actionable insights into the entire machine learning lifecycle, from model development to deployment, monitoring, and continuous improvement.Through real-world examples and step-by-step instructions, you will learn how to integrate MLOps practices into your workflow, automating the model deployment process, building scalable pipelines, and ensuring seamless collaboration across cross-functional teams.Covering essential topics such as model versioning, data management, experiment tracking, and performance monitoring, this book emphasizes the importance of robust, repeatable processes in managing the operational aspects of machine learning. You will also explore key MLOps tools and frameworks like Kubernetes, Docker, TensorFlow, and MLflow, and how to use them to streamline model deployment and scaling.Whether you're new to MLOps or looking to refine your existing practices, Practical MLOps provides a comprehensive roadmap to mastering the complexities of bringing machine learning models to production in a sustainable and reliable way.Key Features: In-depth coverage of MLOps principles and practicesStep-by-step guides to automating and managing ML workflowsReal-world examples using popular tools and frameworksBest practices for model deployment, scaling, and monitoringInsights into collaboration between data scientists, engineers, and business teamsPractical MLOps is the definitive guide for transforming your machine learning models into production-ready, business-impacting solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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