Real world applications machine learning (51 Ergebnisse)

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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.

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Taschenbuch. Zustand: Neu. Neuware.

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

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

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Zustand: New. pp. 350.

Paperback. Zustand: Very Good. Mastering .NET Machine Learning: Master the art of machine learning with .NET and gain insight into real-world applications: Use machine learning in your .NET applications This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on themodelling and optimization aspects of the feature selection problem throughcomputational intelligence methods in complex, high-dimensional supervisedmachine learning. To aidreaders in conductingresearch in this field, it covers fundamental concepts and state-of-the-artalgorithms. This book also providesa detailed insight into applying these algorithms into real-world applications.The authors begin by introducing thedefinition high-dimensional machine learning (ML) problems and the challenges they pose. Subsequently, they delve intodimension reduction methods for high-dimensional ML, including global and localfeature selection (FS) techniques. This book also comprehensively presents computationalintelligence methods such as evolutionary computation and deep neural networksfor FS, supported by boththeoretical and empirical evidence. Furthermore, this book explores real-worldscenario applications involving high-dimensional ML, particularly in the context of smartcities, bioinformatics and industrial informatics.This book is a suitable readfor postgraduates and researchers who are interested in the research areas ofcomputational intelligence, soft computing, machine learning and deep learning.Professionals and practitioners within these related fields will also benefitfrom this book.…

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Zustand: New. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world.

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