Codwell Henry (23 results)

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Paperback. Condition: New.

Paperback. Condition: new. Paperback. Unlock the Power of MATLAB for Data Science-From Fundamentals to Advanced ProjectsWhether you're a beginner stepping into data science or a professional aiming to level up, MATLAB Data Science: Complete Guide Build 50 Scientific Projects Including Signal Processing is your comprehensive resource for mastering data analysis, machine learning, and scientific computing using MATLAB.This all-in-one guide takes a hands-on, project-driven approach, helping you build 50 real-world scientific projects across diverse domains such as signal processing, statistics, regression, classification, optimization, and visualization.Inside this book, you'll learn to: Set up and navigate MATLAB for data science workflowsProcess, clean, and analyze large datasets effectivelyBuild and train machine learning models (supervised and unsupervised)Apply signal processing techniques using real-world dataVisualize complex data using powerful plotting functionsImplement advanced algorithms for clustering, forecasting, and classificationCreate interactive dashboards and data apps in MATLABEach chapter is packed with clear explanations, annotated code samples, and practical insights to help you learn by doing. Whether you're working in healthcare, finance, engineering, or academia, this book equips you with immediately applicable skills and projects that reflect real scientific challenges.If you're serious about mastering data science with MATLAB, this is the only guide you'll need.Grab your copy now and start building real projects today. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. Migrate to AWS with Confidence-50 Proven Projects for Enterprise-Grade Cloud TransformationReady to modernize your infrastructure and scale with agility? AWS Cloud Migration: Enterprise Guide Build 50 Migration Projects Including Legacy Modernization is your step-by-step roadmap to executing successful migrations to Amazon Web Services-whether you're moving a single application or transforming an entire data center.Written for architects, DevOps teams, IT leaders, and cloud professionals, this comprehensive guide walks you through 50 real-world migration projects, from assessment and planning to deployment and post-migration optimization. Each project is designed to address specific enterprise needs, including database refactoring, legacy system modernization, hybrid environments, and cloud-native adoption.What You'll Learn: Practical strategies for lift-and-shift, re-platforming, and re-architectingHow to migrate legacy applications and mainframe workloads with minimal riskIntegration of DevOps, security, and automation into migration pipelinesReal templates, scripts, and diagrams for AWS tools like CloudFormation, DMS, and Control TowerBest practices for cost optimization, compliance, and scalability post-migrationWhether you're migrating ERP systems, web applications, or entire server fleets, this book delivers the structure and confidence you need to succeed-no guesswork, just proven solutions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. Ready to build powerful, high-performance AI systems? This advanced guide shows you how to harness the speed and control of C++ to develop 45 real-world AI projects-from core algorithms to neural networks, and from computer vision to embedded AI.Designed for experienced developers and AI engineers, this book covers: Modern C++20/23 features optimized for AI.Key machine learning techniques including regression, clustering, and SVMs.Neural network architectures-MLPs, CNNs, RNNs-built from scratch in C++.Advanced topics like reinforcement learning, transformers, and transfer learning.Deployment strategies for GPU, embedded, and cross-platform systems.With complete code walkthroughs, hands-on projects, and efficient implementation strategies, you'll gain practical skills to build scalable AI applications for games, robotics, finance, and more.Build AI that runs faster, smarter, and stronger-with C++.Start coding your next breakthrough. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. Accelerate your Android development journey with this complete, hands-on guide to Kotlin and Jetpack Compose. Designed for beginners and experienced developers alike, this book walks you through the creation of 45 real-world Android applications, providing the practical skills needed to build modern, production-ready apps.Through a project-based approach, you'll gain in-depth experience with Kotlin programming, Android Studio, and cutting-edge development tools. Each project is structured to help you learn essential concepts including user interface design, data storage, networking, dependency injection, and asynchronous programming using Kotlin Coroutines.Key topics include: Building responsive UIs with Jetpack ComposeImplementing databases with Room and managing data with ViewModel and LiveDataNetworking with Retrofit and integrating Firebase for real-time functionalityApplying dependency injection using HiltStructuring scalable apps with clean architecture principlesFrom simple utilities to advanced applications like e-commerce platforms, chat systems, and full-stack integrations, every chapter helps you build confidence and a strong development portfolio.Whether you're aiming to break into mobile development or modernize your Android skills, this guide gives you the tools and real-world practice to succeed.Begin your Kotlin development journey today. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. Unlock the Power of MATLAB for Data Science-From Fundamentals to Advanced ProjectsWhether you're a beginner stepping into data science or a professional aiming to level up, MATLAB Data Science: Complete Guide Build 50 Scientific Projects Including Signal Processing is your comprehensive resource for mastering data analysis, machine learning, and scientific computing using MATLAB.This all-in-one guide takes a hands-on, project-driven approach, helping you build 50 real-world scientific projects across diverse domains such as signal processing, statistics, regression, classification, optimization, and visualization.Inside this book, you'll learn to: Set up and navigate MATLAB for data science workflowsProcess, clean, and analyze large datasets effectivelyBuild and train machine learning models (supervised and unsupervised)Apply signal processing techniques using real-world dataVisualize complex data using powerful plotting functionsImplement advanced algorithms for clustering, forecasting, and classificationCreate interactive dashboards and data apps in MATLABEach chapter is packed with clear explanations, annotated code samples, and practical insights to help you learn by doing. Whether you're working in healthcare, finance, engineering, or academia, this book equips you with immediately applicable skills and projects that reflect real scientific challenges.If you're serious about mastering data science with MATLAB, this is the only guide you'll need.Grab your copy now and start building real projects today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: New.

Condition: Fine. Condition: Fine | Language: English | Product Type: Books.

Paperback. Condition: new. Paperback. Unlock the Power of MATLAB for Data Science-From Fundamentals to Advanced ProjectsWhether you're a beginner stepping into data science or a professional aiming to level up, MATLAB Data Science: Complete Guide Build 50 Scientific Projects Including Signal Processing is your comprehensive resource for mastering data analysis, machine learning, and scientific computing using MATLAB.This all-in-one guide takes a hands-on, project-driven approach, helping you build 50 real-world scientific projects across diverse domains such as signal processing, statistics, regression, classification, optimization, and visualization.Inside this book, you'll learn to: Set up and navigate MATLAB for data science workflowsProcess, clean, and analyze large datasets effectivelyBuild and train machine learning models (supervised and unsupervised)Apply signal processing techniques using real-world dataVisualize complex data using powerful plotting functionsImplement advanced algorithms for clustering, forecasting, and classificationCreate interactive dashboards and data apps in MATLABEach chapter is packed with clear explanations, annotated code samples, and practical insights to help you learn by doing. Whether you're working in healthcare, finance, engineering, or academia, this book equips you with immediately applicable skills and projects that reflect real scientific challenges.If you're serious about mastering data science with MATLAB, this is the only guide you'll need.Grab your copy now and start building real projects today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Migrate to AWS with Confidence-50 Proven Projects for Enterprise-Grade Cloud TransformationReady to modernize your infrastructure and scale with agility? AWS Cloud Migration: Enterprise Guide Build 50 Migration Projects Including Legacy Modernization is your step-by-step roadmap to executing successful migrations to Amazon Web Services-whether you're moving a single application or transforming an entire data center.Written for architects, DevOps teams, IT leaders, and cloud professionals, this comprehensive guide walks you through 50 real-world migration projects, from assessment and planning to deployment and post-migration optimization. Each project is designed to address specific enterprise needs, including database refactoring, legacy system modernization, hybrid environments, and cloud-native adoption.What You'll Learn: Practical strategies for lift-and-shift, re-platforming, and re-architectingHow to migrate legacy applications and mainframe workloads with minimal riskIntegration of DevOps, security, and automation into migration pipelinesReal templates, scripts, and diagrams for AWS tools like CloudFormation, DMS, and Control TowerBest practices for cost optimization, compliance, and scalability post-migrationWhether you're migrating ERP systems, web applications, or entire server fleets, this book delivers the structure and confidence you need to succeed-no guesswork, just proven solutions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Ready to build powerful, high-performance AI systems? This advanced guide shows you how to harness the speed and control of C++ to develop 45 real-world AI projects-from core algorithms to neural networks, and from computer vision to embedded AI.Designed for experienced developers and AI engineers, this book covers: Modern C++20/23 features optimized for AI.Key machine learning techniques including regression, clustering, and SVMs.Neural network architectures-MLPs, CNNs, RNNs-built from scratch in C++.Advanced topics like reinforcement learning, transformers, and transfer learning.Deployment strategies for GPU, embedded, and cross-platform systems.With complete code walkthroughs, hands-on projects, and efficient implementation strategies, you'll gain practical skills to build scalable AI applications for games, robotics, finance, and more.Build AI that runs faster, smarter, and stronger-with C++.Start coding your next breakthrough. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Accelerate your Android development journey with this complete, hands-on guide to Kotlin and Jetpack Compose. Designed for beginners and experienced developers alike, this book walks you through the creation of 45 real-world Android applications, providing the practical skills needed to build modern, production-ready apps.Through a project-based approach, you'll gain in-depth experience with Kotlin programming, Android Studio, and cutting-edge development tools. Each project is structured to help you learn essential concepts including user interface design, data storage, networking, dependency injection, and asynchronous programming using Kotlin Coroutines.Key topics include: Building responsive UIs with Jetpack ComposeImplementing databases with Room and managing data with ViewModel and LiveDataNetworking with Retrofit and integrating Firebase for real-time functionalityApplying dependency injection using HiltStructuring scalable apps with clean architecture principlesFrom simple utilities to advanced applications like e-commerce platforms, chat systems, and full-stack integrations, every chapter helps you build confidence and a strong development portfolio.Whether you're aiming to break into mobile development or modernize your Android skills, this guide gives you the tools and real-world practice to succeed.Begin your Kotlin development journey today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. MATLAB Data Science | Henry Codwell | Taschenbuch | Englisch | 2025 | MARTIN CHAVEZ | EAN 9798231021055 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. AWS Cloud Migration | Henry Codwell | Taschenbuch | Englisch | 2025 | MARTIN CHAVEZ | EAN 9798231021420 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. Machine Learning Engineering | Henry Codwell | Taschenbuch | Englisch | 2025 | MARTIN CHAVEZ | EAN 9798231388882 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. C++ AI Development | Henry Codwell | Taschenbuch | Englisch | 2025 | MARTIN CHAVEZ | EAN 9798231516308 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. Kotlin Development | Henry Codwell | Taschenbuch | Englisch | 2025 | MARTIN CHAVEZ | EAN 9798231145973 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Paperback. Condition: new. Paperback. Turn your machine learning knowledge into real-world solutions with this comprehensive, project-based guide designed for data scientists, software engineers, and AI practitioners looking to transition from experimentation to production.This hands-on guide walks you through the development of 50 fully functional machine learning models, covering a wide range of industries and applications-including finance, healthcare, e-commerce, NLP, computer vision, recommendation systems, and time-series forecasting. Each project is engineered to mirror real-world workflows, with an emphasis on scalability, performance, and deployment.You'll learn to integrate cutting-edge tools such as TensorFlow, Scikit-learn, FastAPI, Docker, Kubernetes, and MLflow into your pipelines, while mastering MLOps practices that ensure reliability, reproducibility, and maintainability of models in production environments.Key features include: End-to-end development of 50 machine learning projectsGuidance on production-ready model design, training, testing, and deploymentStep-by-step implementation using Python, with clean, reusable codeReal-world datasets and scalable architecturesCoverage of key MLOps tools and CI/CD automation strategiesWhether you're aiming to build your portfolio, advance your career, or deploy robust machine learning systems, this book gives you the practical skills and tools to succeed. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. Turn your machine learning knowledge into real-world solutions with this comprehensive, project-based guide designed for data scientists, software engineers, and AI practitioners looking to transition from experimentation to production.This hands-on guide walks you through the development of 50 fully functional machine learning models, covering a wide range of industries and applications-including finance, healthcare, e-commerce, NLP, computer vision, recommendation systems, and time-series forecasting. Each project is engineered to mirror real-world workflows, with an emphasis on scalability, performance, and deployment.You'll learn to integrate cutting-edge tools such as TensorFlow, Scikit-learn, FastAPI, Docker, Kubernetes, and MLflow into your pipelines, while mastering MLOps practices that ensure reliability, reproducibility, and maintainability of models in production environments.Key features include: End-to-end development of 50 machine learning projectsGuidance on production-ready model design, training, testing, and deploymentStep-by-step implementation using Python, with clean, reusable codeReal-world datasets and scalable architecturesCoverage of key MLOps tools and CI/CD automation strategiesWhether you're aiming to build your portfolio, advance your career, or deploy robust machine learning systems, this book gives you the practical skills and tools to succeed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.