Sprache: Englisch
Verlag: BPB Publications (edition ), 2019
ISBN 10: 9388511409 ISBN 13: 9789388511407
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Soft cover. Zustand: New. Concepts of Machine Learning with Practical Approaches. KEY FEATURES Includes real-scenario examples to explain the working of Machine Learning algorithms. Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems.
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In den WarenkorbPaperback. Zustand: New. T. Barua, REGex K. Kant Hiran, Symb. Univ. of Appl. Sc. A. Sharma, Maharishi Markandeshwar, India R. Doshi, Univ. Azteca, Mexico.The book covers the concepts of Python program.
Anbieter: moluna, Greven, Deutschland
Zustand: New. Tarkeshwar Barua, Blue Crest Univ., Liberia Kamal Kant Hiran, Sir Padampat Singhania University, India Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India Doshi Ruchi, Universidad Azteca, Mexi.
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In den WarenkorbZustand: New. C Kishor Kumar Reddy is currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 years. .
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 437 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Sprache: Englisch
Verlag: Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032854022 ISBN 13: 9781032854021
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - What are the means to create a paradigm shift from conventional to intelligent companies Industry 6.0: Technology, Practices, Challenges and Applications shows how integrating Industry 6.0 technology with data creates a framework for that shift. The book discusses the limitations, pitfalls, and open research questions in Industry 6.0, as well as the most recent advances, architectures, frameworks, applications, and novel practices, methods, and techniques. These are vital for resolving intelligent Internet of Things issues. There is a special focus on sustainable growth, humanization and environmentally friendly intelligent system applications, and an emphasis on the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP).Features: - Presents the latest trends in the fields of intelligent systems, machine intelligence, deep learning, and Industrial Internet of Things for smart environments. - Discusses securing the mobile ad hoc network (MANET) by detecting the Intrusions using CSO and XGBoost model. - Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains. - Focuses on intelligent process manufacturing, automation using robotics, development of robotic appliances, and smart manufacturing. - Covers data-driven agriculture, crop disease prediction, drip irrigation systems, pesticide and fertilizer sprinkling using the Industrial Internet of Things, and water estimation systems. With many contemporary articles from both scientists and practitioners working in many fields where intelligent systems and the IIoT can break new ground, the text is assembled to aim at a readership that includes researchers, statisticians, practitioners, scientists, and developers.
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Zustand: gut. 2025. Mobile Applications Development: with Python in Kivy Framework (De Gruyter STEM) In deutscher Sprache. pages.
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Sprache: Englisch
Verlag: Engineering Science Reference, 2022
ISBN 10: 1668450720 ISBN 13: 9781668450727
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In den WarenkorbHardcover. Zustand: Brand New. 344 pages. 9.18x6.12x9.21 inches. In Stock.
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 572 | Sprache: Englisch | Produktart: Bücher | A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI's rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.