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The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics, Papp Stefan, Weidinger Wolfgang, Munro Katherine


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Автор: Papp Stefan, Weidinger Wolfgang, Munro Katherine
Название:  The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
ISBN: 9781569908860
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1569908869
Обложка/Формат: Paperback
Страницы: 573
Вес: 1.09 кг.
Дата издания: 30.09.2022
Язык: English
Размер: 172 x 246 x 36
Ключевые слова: Data analysis: general,Machine learning
Подзаголовок: Generate value from data with data analysis and machine learning
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Поставляется из: Англии
Описание: Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:- A comprehensive overview of the various fields of application of data science- Case studies from practice to make the described concepts tangible- Practical examples to help you carry out simple data analysis projectsThe book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Contains these current issues:- Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms.- Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice- Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies- Computer vision: How can we gain insights from images and videos with data science?- Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios.- ML and AI in production: How to turn experimentation into a working data science product?- Presenting your results: Essential presentation techniques for data scientistsContributors: Stefan Papp / Wolfgang Weidinger / Katherine Munro / Bernhard Ortner / Annalisa Cadonna / Georg Langs / Roxane Licandro / Mario Meir-Huber / Danko Nikoli? / Zoltan Toth / Barbora Vesela / Rania Wazir / G?nther Zauner
Дополнительное описание: Machine learning|Data science and analysis: general



Handbook of Big Data Analytics and Forensics

Автор: Choo Kim-Kwang Raymond, Dehghantanha Ali
Название: Handbook of Big Data Analytics and Forensics
ISBN: 3030747522 ISBN-13(EAN): 9783030747527
Издательство: Springer
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Цена: 21953.00 р.
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Описание: This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud’s log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter. The authors evaluate the performance of unsupervised machine learning for detecting cyberattacks against industrial control systems (ICS) in chapter 7, and the next chapter presents a robust fuzzy Bayesian approach for ICS’s cyber threat hunting. This handbook also evaluates the performance of supervised machine learning methods in identifying cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS’s cyber threat hunting and the usefulness of machine learning algorithms for MacOS malware detection are respectively evaluated. This handbook continues with evaluating the performance of various machine learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the-art machine learning models. In order to identify credit card frauds, the fifteenth chapter introduces a hybrid model. In the sixteenth chapter, the editors propose a model that leverages natural language processing techniques for generating a mapping between APT-related reports and cyber kill chain. A deep learning-based approach to detect ransomware is introduced, as well as a proposed clustering approach to detect IoT malware in the last two chapters. This handbook primarily targets professionals and scientists working in Big Data, Digital Forensics, Machine Learning, Cyber Security Cyber Threat Analytics and Cyber Threat Hunting as a reference book. Advanced level-students and researchers studying and working in Computer systems, Computer networks and Artificial intelligence will also find this reference useful.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Автор: Maleh Yassine, Shojafar Mohammad, Alazab Mamoun
Название: Machine Intelligence and Big Data Analytics for Cybersecurity Applications
ISBN: 3030570266 ISBN-13(EAN): 9783030570262
Издательство: Springer
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Цена: 24392.00 р.
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Описание: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis.

The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 2

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 2
ISBN: 3030627454 ISBN-13(EAN): 9783030627454
Издательство: Springer
Цена: 24392.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Session 5: Data-driven co-design of communication, computing and control for IoT security

Design of a Force Balance Geophone Utilizing Bandwidth Extension and Data Acquisition Interface

Application of 3ds Max Technology in Archaeology

The Application of Virtual Reality Technology in ESP Teaching

Application of Simulation Method Based on Computer Bionic Design

The Implementation and Application of Computer Simulation Technology in PE Teaching

Construction of College Communities in the New Media Based on Network Environment

Political and Ideological Personnel Management Mode Based on Computer Network

Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space

Application of Smart Retail Mode in Suning.Com

Construction and Development of High-tech Smart City

Design and Implementation of Self-Service Tourism Management Information System Based on B/S Architecture

Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet

Application and Outlook of Digital Media Technology in Smart Tourism

Accounting Informationization in Computer Network Environment

Mobile Phone GPS and Sensor Technology in College Students' Extracurricular Exercises

Design of Networking Network Model Based on Network Function Virtualization Technology

Intelligent Media Technology Empowered Brand Communication of Chinese Intangible Cultural Heritage

Construction Strategy of Smart English Teaching Platform from the Perspective of "Internet + Education"

Online Writing Effectiveness under the Blended Teaching Mode of Moscotech APP

A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage under the 5G Era

Application Study of VPN on the Network of Hydropower Plant

Prediction of Technology Trend of Educational Robot Industry Based On Patent Map Analysis

Coal Handling System of Power Plant Based On PLC

Discussion on the Construction of Wireless Campus Network Based On SDN Architecture

Applicational Status Analysis of Artificial Intelligence Technology in Middle School Education and Teaching

Virtual Enterprise Partner Selection by Improved Analytic Hierarchy Process with Entropy Weight and Range Method

Research and implementation of Intelligent Tourism Guide System Based on cloud computing platform

Analysis of financial needs of new agricultural operators based on K-means clustering algorithm

Research on the application of virtual network technology in computer network security

Application of Bionics in Underwater Acoustic Covert Communication

Energy-saving and efficient underwater wireless sensor network security data aggregation model

False Data Filtering in Underwater Wireless Sensor Networks

Research on Underwater Bionic Covert Communication

Session 6: Authentication and access control for data usage in IoT

The Application of Virtual Reality Technology in Architectural Design

Computer-assisted Teaching and Cultivate Students' Innovative Thinking Ability

The Reform Progress and Practical Difficulties of State-owned Hospitals under Information Age―Case Analysis Based on the Reform in a Medical Institution of A Group in China

Financing Efficiency of SMEs in New Third Board Market in the Information Times

Application of Virtual Instrument Technology in Electronic Course Teaching

A Solution for Internet of Things based on Blockchain and Edge Computer

Discovery and Advice of Free Charging of Electronic Devices

Design and Implementation of Tourism Information Management System Based on .NET

A Computer Model for Decision of Equipment Maintenance Spare Parts Reserve

Risk Level Determination of Science a

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Автор: Maleh Yassine, Shojafar Mohammad, Alazab Mamoun
Название: Machine Intelligence and Big Data Analytics for Cybersecurity Applications
ISBN: 3030570231 ISBN-13(EAN): 9783030570231
Издательство: Springer
Цена: 24392.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis.

Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Pape

Автор: Brefeld Ulf, Davis Jesse, Van Haaren Jan
Название: Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Pape
ISBN: 303102043X ISBN-13(EAN): 9783031020438
Издательство: Springer
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Цена: 9756.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021.

AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics

Автор: Malik Hasmat, Fatema Nuzhat, Alzubi Jafar A.
Название: AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics
ISBN: 9813344113 ISBN-13(EAN): 9789813344112
Издательство: Springer
Цена: 21953.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques.

Feature engineering for machine learning and data analytics

Название: Feature engineering for machine learning and data analytics
ISBN: 0367571854 ISBN-13(EAN): 9780367571856
Издательство: Taylor&Francis
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Цена: 6889.00 р.
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Описание: Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges.

Machine Learning and Data Mining for Sports Analytics

Автор: Ulf Brefeld; Jesse Davis; Jan Van Haaren; Albrecht
Название: Machine Learning and Data Mining for Sports Analytics
ISBN: 3030172732 ISBN-13(EAN): 9783030172732
Издательство: Springer
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Цена: 6097.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018.

The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.
The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics

Автор: O`Neil Bonnie K., Fryman Lowell
Название: The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics
ISBN: 1634627873 ISBN-13(EAN): 9781634627870
Издательство: Gazelle Book Services
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Цена: 10937.00 р.
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Описание: Apply this definitive guide to data catalogs and select the feature set needed to empower your data citizens in their quest for faster time to insight. The data catalog may be the most important breakthrough in data management in the last decade, ranking alongside the advent of the data warehouse. The latter enabled business consumers to conduct their own analyses to obtain insights themselves. The data catalog is the next wave of this, empowering business users even further to drastically reduce time to insight, despite the rising tide of data flooding the enterprise. Use this book as a guide to provide a broad overview of the most popular Machine Learning (ML) data catalog products, and perform due diligence using the extensive features list. Consider graphical user interface (GUI) design issues such as layout and navigation, as well as scalability in terms of how the catalog will handle your current and anticipated data and metadata needs. ONeil & Frymanpresent a typology which ranges from products that focus on data lineage, curation and search, data governance, data preparation, and of course, the core capability of finding and understanding the data. The authors emphasize that machine learning is being adopted in many of these products, enabling a more elegant data democratization solution in the face of the burgeoning mountain of data that is engulfing organizations. Derek Strauss, Chairman/CEO, Gavroshe, and Former CDO, TD Ameritrade. This book is organized into three sections: Chapters 1 and 2 reveal the rationale for a data catalog and share how data scientists, data administrators, and curators fare with and without a data catalog; Chapters 3-10 present the many different types of data catalogs; Chapters 11 and 12 provide an extensive features list, current trends, and visions for the future.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Автор: Ghosh Uttam, Maleh Yassine, Alazab Mamoun
Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
ISBN: 3030720640 ISBN-13(EAN): 9783030720643
Издательство: Springer
Цена: 20733.00 р.
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Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.

Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making

Автор: Sarker Iqbal, Colman Alan, Han Jun
Название: Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making
ISBN: 3030885291 ISBN-13(EAN): 9783030885298
Издательство: Springer
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Цена: 17074.00 р.
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Описание: This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making.

Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, Mlsa 2020, Co-Located with Ecml/Pkdd 2020, Ghent, Belgium, Septembe

Автор: Brefeld Ulf, Davis Jesse, Van Haaren Jan
Название: Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, Mlsa 2020, Co-Located with Ecml/Pkdd 2020, Ghent, Belgium, Septembe
ISBN: 3030649113 ISBN-13(EAN): 9783030649111
Издательство: Springer
Цена: 6097.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020.


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