machine learning deep big (116 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware -Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: In recent times, developments in artificial intelligence (AI) and machine learning (ML) have propelled improvements in systems and control engineering. We exist in a time of extensive data, where AI and ML can evaluate large volumes of information instantly to enhance efficiency and precision in decisions based on data. In control engineering, for instance, AI algorithms can anticipate system behaviors and autonomously modify controls to enhance performance for better efficiency and dependability. ML models, with their ability to learn, consistently enhance their predictions and choices as they handle additional data, enabling systems to dynamically adjust to evolving environments and operational circumstances. This swift adjustment enhances the functions of current systems and enables the creation of groundbreaking solutions, like self-driving cars and intelligent power grids, which were previously deemed unfeasible.The rapid expansion of digital data has propelled significant advancements in Big Data analytics, Machine Learning, and Deep Learning. These technologies are increasingly integrated across industries, facilitating automated decision-making, predictive modeling, and advanced pattern recognition. This chapter provides an in-depth review of recent progress in these domains, emphasizing breakthroughs in scalable data processing frameworks, cloud and edge computing, AutoML, explainable AI, transformer architectures, self-supervised learning, and generative models. Furthermore, it explores key applications in healthcare, finance, and autonomous systems, along with challenges such as data privacy, ethical concerns, and computational constraints. The discussion concludes with future directions, highlighting the potential of federated learning, neuromorphic computing, and novel algorithmic improvements to further expand AI's impact across disciplines. 56 pp. Englisch.

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Paperback. Zustand: new. Paperback. The book entitled"Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning" is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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paperback. Zustand: New. Paperback.Pub Date:2022-03-01 Pages:418 Publisher:China Water Resources and Hydropower Press Deep learning is a subset of machine learning based on multi-layer neural networks. which can solve particularly difficult and difficult tasks in fields such as natural language processing and image classification. massive problem. Apache Spark Deep Learning in Action breaks down the complexity of the technical and analytical parts and the speed at which deep learning solutions can be implemented on A.

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paperback. Zustand: New. Paperback. Pub Date: 2022-07-01 Publisher: Tsinghua University Press This book is task-oriented and discusses the main issues of machine learning and deep learning. including clustering. regression. classification. labeling. dimensionality reduction. feature engineering. Hyperparameter tuning. sequential decision making (reinforcement learning). and adversarial attacks. etc. For each of the above problems. the book discusses the specific implementation algorithm from three perspectives: decis.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ce livre fournit une compréhension complète du pouvoir transformateur de l'intelligence artificielle (IA), de l'apprentissage automatique (ML), du Deep Learning (DL) et de l'analyse du Big Data d'une manière critique, à terme pour l'avancement de l'industrie 4.0 et 5.0 et façonner la société. 5.0. Il a approfondi la manière dont ces technologies révolutionnent les industries, stimulent l'innovation et résolvent les problèmes sociaux, afin que les lecteurs disposent d'une feuille de route pour un monde technologique en évolution. L'intégration de l'IA avec l'analyse du Big Data dans ce livre traite des principaux sujets conçus pour améliorer l'efficacité industrielle, optimiser les soins de santé, transformer la vente au détail, transformer l'industrie de la construction, développer des véhicules autonomes et promouvoir la durabilité environnementale. Les chapitres examinent en détail chacune de ces technologies appliquées pour aboutir à des études détaillées, des méthodologies et des applications réelles. L'évolution de l'Industrie 4.0 à l'Industrie 5.0 est l'un des thèmes centraux du livre. Ce livre se concentre également sur les défis et les opportunités liés à la mise en oeuvre de l'IA pour des industries intelligentes et durables.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Questo libro fornisce una comprensione completa del potere di trasformazione dell'Intelligenza Artificiale (AI), del Machine Learning (ML), del Deep Learning (DL) e dell'analisi dei big data in modo critico, in ultima analisi per il progresso dell'Industria 4.0 e 5.0 e per dare forma alla società. 5.0. Ha approfondito il modo in cui queste tecnologie stanno rivoluzionando le industrie, guidando l'innovazione e risolvendo i problemi sociali, in modo che i lettori abbiano una tabella di marcia verso il mondo tecnologico in movimento. L'integrazione dell'intelligenza artificiale con l'analisi dei big data in questo libro affronta i principali argomenti progettati per migliorare l'efficienza industriale, ottimizzare l'assistenza sanitaria, trasformare la vendita al dettaglio, trasformare l'industria delle costruzioni, sviluppare veicoli autonomi e promuovere la sostenibilità ambientale. I capitoli esaminano in dettaglio ciascuna di queste tecnologie applicate per portare a studi dettagliati, metodologie e applicazioni nel mondo reale. L'evoluzione dall'Industria 4.0 all'Industria 5.0 è uno dei temi centrali del libro. Questo libro si concentra anche sulle sfide e sulle opportunità legate all¿implementazione dell¿intelligenza artificiale per le industrie intelligenti e sostenibili.