Applications Machine Learning Deep (482 results)
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
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Paperback or Softback. Condition: New. Hands-On AI Development with Python: Build and Deploy Real-World AI, Machine Learning, Deep Learning, and NLP Applications. Book.
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Language: English
Published by T And F India, 2025
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Add to basketSoft cover. Condition: New. ISBN:9781032938738,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques (Paperback or Softback).
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Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. …
Applications of Machine Learning and Deep Learning on Biological Data
Masoodi, Faheem (EDT); Quasim, Mohammad (EDT); Bukhari, Syed (EDT); Dixit, Sarvottam (EDT); Alam, Shadab (EDT)
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- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.
