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Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications, Dulhare Uma N., Ahmad Khaleel, Bin Ahmad Khairol Amali


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Автор: Dulhare Uma N., Ahmad Khaleel, Bin Ahmad Khairol Amali
Название:  Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications
ISBN: 9781119654742
Издательство: Wiley
Классификация:
ISBN-10: 1119654742
Обложка/Формат: Hardcover
Страницы: 544
Вес: 0.45 кг.
Дата издания: 01.09.2020
Язык: English
Размер: 0.99 x 0.99 x 0.99 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Concepts, algorithms, tools and applications
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations.

The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learnings Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems.

Subjects covered in detail include:

  • Mathematical foundations of machine learning with various examples.
  • An empirical study of supervised learning algorithms like Naпve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview.
  • Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth.
  • Hands-on machine leaning open source tools viz. Apache Mahout, H2O.
  • Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning.
  • Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.


Machine Learning Applications: Emerging Trends

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 123910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.


Machine Learning Algorithms for Industrial Applications

Автор: Das, S.K., Das, S.P., Dey, N., Hassanien, A.-E.
Название: Machine Learning Algorithms for Industrial Applications
ISBN: 3030506401 ISBN-13(EAN): 9783030506407
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics.

Recent Algorithms and Applications in Swarm Intelligence Research

Автор: Yuhui Shi
Название: Recent Algorithms and Applications in Swarm Intelligence Research
ISBN: 1466624795 ISBN-13(EAN): 9781466624795
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Advances in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous functions, as well as being applied to solve real-world applications. This title highlights the current research on swarm intelligence algorithms and its applications.

Proceedings of International Conference on Big Data, Machine Learning and Their Applications: Icbma 2019

Автор: Tiwari Shailesh, Suryani Erma, Ng Andrew Keong
Название: Proceedings of International Conference on Big Data, Machine Learning and Their Applications: Icbma 2019
ISBN: 9811583765 ISBN-13(EAN): 9789811583766
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications (ICBMA 2019) held at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during 29-31 May 2020.

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications

Название: Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications
ISBN: 1799804143 ISBN-13(EAN): 9781799804147
Издательство: Mare Nostrum (Eurospan)
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Цена: 2494800.00 T
Наличие на складе: Нет в наличии.
Описание: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications

Название: Natural Language Processing: Concepts, Methodologies, Tools, and Applications
ISBN: 179980951X ISBN-13(EAN): 9781799809517
Издательство: Mare Nostrum (Eurospan)
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Цена: 2263800.00 T
Наличие на складе: Нет в наличии.
Описание: As technology continues to become more sophisticated, a computer's ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.

Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments

Автор: Kang Min-wook, Schonfeld Paul
Название: Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
ISBN: 9813272805 ISBN-13(EAN): 9789813272804
Издательство: World Scientific Publishing
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Цена: 95040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.

Brain Storm Optimization Algorithms: Concepts, Principles and Applications

Автор: Cheng Shi, Shi Yuhui
Название: Brain Storm Optimization Algorithms: Concepts, Principles and Applications
ISBN: 3030150720 ISBN-13(EAN): 9783030150723
Издательство: Springer
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Цена: 102480.00 T
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Описание: Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Автор: Siddhivinayak Kulkarni
Название: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques
ISBN: 1466618337 ISBN-13(EAN): 9781466618336
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Evolutionary Machine Learning Techniques: Algorithms and Applications

Автор: Mirjalili Seyedali, Faris Hossam, Aljarah Ibrahim
Название: Evolutionary Machine Learning Techniques: Algorithms and Applications
ISBN: 9813299924 ISBN-13(EAN): 9789813299924
Издательство: Springer
Цена: 167700.00 T
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Описание: This book mainly analyzes the major issues at all phases of the transition of urban-rural relation, as well as measures adopted by the transition launcher in face of such issues, including not only the system and policy design of the national and local government, but the countermeasures of basic-level units at urban and rural areas and the people.

Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select

Автор: Thampi Sabu M., Trajkovic Ljiljana, Li Kuan-Ching
Название: Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select
ISBN: 9811543003 ISBN-13(EAN): 9789811543005
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions.


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