Algorithms applications machine learning (145 Ergebnisse)

Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardback. Zustand: Good. This book provides a fresh, intuitive approach to machine learning, detailing the fundamental concepts necessary for building projects and conducting research. With colour illustrations, practical real-world examples, and MATLAB-based exercises, it is an essential resource for students and an ideal reference for researchers and practitioners in the field.…

Paperback. Zustand: New. New paperback. An unread/unopened copy. May have VERY minor rubbing and scuffing from shelf wear.; 100% Satisfaction Guaranteed! Ships same or next business day.

hardcover. Zustand: Very Good.

hardcover. Zustand: Fine.

Zustand: New. In English.

hardcover. Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Zustand: New. In English.

Paperback. Zustand: Brand New. 82 pages. 9.00x6.00x0.17 inches. In Stock.

Zustand: New. pp. 226.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781107123526.…

Hardcover. Zustand: Very Good. 1st ed. 2023. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Taschenbuch. Zustand: Neu. Neuware - THE FOUNDATIONAL GUIDE TO MACHINE LEARNINGA Practical Introduction to Core Concepts, Algorithms, Data, and Real World Applications>BACKGROUND OF THIS BOOK>ADVANTAGES OF BUYING THIS BOOKLearn from beginner to confident practitioner with a structured learning path.Master core machine learning concepts and algorithms without unnecessary complexity.Understand data preparation, model training, validation, testing, and evaluation.Explore practical workflows that connect machine learning concepts with real-world applications.Learn responsible machine learning practices, including fairness, privacy, security, transparency, and human oversight.>CONTENTS OF THIS BOOKInside this comprehensive guide, you will discover: Machine Learning FundamentalsData Types, Quality, Sampling, and GovernanceData Preparation and ExplorationFeatures, Representation, Scaling, and Feature EngineeringSupervised Learning, Regression, and ClassificationDecision Trees, Random Forests, and BoostingUnsupervised Learning and ClusteringDimensionality Reduction and VisualizationNeural Networks and Deep LearningTraining, Validation, Testing, and Cross-ValidationEvaluation Metrics and Model ComparisonOverfitting, Underfitting, and GeneralizationPractical Machine Learning WorkflowsDeployment, Monitoring, Data Drift, and MaintenanceResponsible and Ethical Machine LearningReal-World Applications and Case StudiesBuilding Your Own Machine Learning Learning Path>ENCOURAGEMENT FOR THE READERS>Read each chapter carefully, practice what you learn, reflect on the concepts, and continue developing your skills. With consistent learning and practical application, you can build the knowledge and confidence needed to understand machine learning and explore its many possibilities.Your journey into machine learning starts here.…

Taschenbuch. Zustand: Neu. Neuware - Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources explores how AI techniques enhance renewable energy systems through optimized power electronics. This essential guide introduces machine learning applications for improving control, predictive maintenance, and fault detection across renewable sources like solar and wind. With real-world case studies and practical insights, the book equips engineers, researchers, and students with tools to tackle challenges in renewable integration, power quality, and system reliability. An invaluable resource for both beginners and experts, this book sheds light on AI-driven innovations shaping a sustainable energy future.…

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New.

Zustand: as new. Wie neu/Like new.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Very Good. In stock ready to dispatch from the UK.

Taschenbuch. Zustand: Neu. Neuware - Imagine this: you've just trained a brilliant predictive model. It works flawlessly on your machine. But the moment you deploy it to a live production environment, everything falls apart. The async web server chokes, memory leaks crash the containers, latency spikes, and your cloud computing bill skyrockets.I've been there. We've all been there. For years, developers simply accepted these scaling nightmares as the unavoidable 'cost of doing AI.' But what if you didn't have to compromise What if you could build a system so lean it runs on a fraction of the hardware, yet so fast it processes thousands of predictions a millisecond The secret isn't buying more expensive GPUs; it's using a more powerful language. Let me show you how trading the bloated comfort of Python for the raw, unforgiving power of Rust will completely transform how you build machine learning applications.What's inside- Deep Learning from Scratch: Build computational graphs, CNNs, and recurrent networks natively in Rust.- Hardware Acceleration: Tap into massive parallel computing power using Nvidia CUDA, Apple Metal, and WebGPU.- The Transformer Revolution: Demystify self-attention and run highly compressed, quantized Large Language Models (LLMs) locally.- Zero Trust Security: Harden your ML pipelines with cryptographic model signatures, distroless Docker containers, and strict data sanitization.- Real-Time Analytics: Construct high-throughput, asynchronous inference engines using Tokio and Axum.Who it's meant forIf you are an AI practitioner tired of deployment bottlenecks, a backend software engineer looking to break into advanced machine learning, or a systems architect tasked with scaling inference to millions of users-this book is exactly for you. You don't need a PhD in advanced calculus, but you do need a hunger to understand how the machine actually works under the hood.The era of slow, bloated AI deployments is over. The future belongs to those who understand the hardware and control the memory. It's time to stop writing simple scripts and start engineering robust systems. Are you ready to break the speed barrier and build the next generation of high-performance intelligence Grab your copy today, and let's start building.…

Zustand: New. pp. 226.

Zustand: New. pp. 254.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.