Machine Learning Mastery With Weka
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Machine Learning Mastery With Weka
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2016-06-23
Machine Learning Mastery With Weka written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-23 with Computers categories.
Machine learning is not just for professors. Weka is a top machine learning platform that provides an easy-to-use graphical interface and state-of-the-art algorithms. In this Ebook, learn exactly how to get started with applied machine learning using the Weka platform.
Machine Learning For Practical Decision Making
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Author : Christo El Morr
language : en
Publisher: Springer Nature
Release Date : 2022-11-29
Machine Learning For Practical Decision Making written by Christo El Morr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Business & Economics categories.
This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.
Pharmacogenetics Research And Clinical Applications An International Landscape Of The Accomplishments Challenges And Opportunities
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Author : Nathalie K. Zgheib
language : en
Publisher: Frontiers Media SA
Release Date : 2020-10-12
Pharmacogenetics Research And Clinical Applications An International Landscape Of The Accomplishments Challenges And Opportunities written by Nathalie K. Zgheib and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Medical categories.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Data Science Concepts And Techniques With Applications
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Author : Usman Qamar
language : en
Publisher: Springer Nature
Release Date : 2023-04-02
Data Science Concepts And Techniques With Applications written by Usman Qamar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-02 with Computers categories.
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.
Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence
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Author : Hamid Jahankhani
language : en
Publisher: Springer Nature
Release Date : 2025-06-14
Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence written by Hamid Jahankhani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.
This book presents the 16th ICGS3-24 conference which aims to understand the full impact of cyber-security, AI, deepfake, and quantum computing on humanity. Over the last two decades, technology relating to cyber-space (satellites, drones, UAVs), cyber-security, artificial intelligence, and generative AI has evolved rapidly. Today, criminals have identified rewards from online frauds; therefore, the risks and threats of cyber-attacks have increased too. Detection of the threat is another strand to the strategy and will require dynamic risk management techniques, strong and up-to-date information governance standards, and frameworks with AI responsive approaches in order to successfully monitor and coordinate efforts between the parties. Thus, the ability to minimize the threats from cyber is an important requirement. This will be a mission-critical aspect of the strategy with development of the right cyber-security skills, knowledge, and culture that are imperative for the implementation of the cyber-strategies. As a result, the requirement for how AI Demand will influence business change and thus influence organizations and governments is becoming important. In an era of unprecedented volatile, political, and economic environment across the world, computer-based systems face ever more increasing challenges, disputes, and responsibilities while the Internet has created a global platform for the exchange of ideas, goods, and services; however, it has also created boundless opportunities for cyber-crime. The ethical and legal implications of connecting the physical and digital worlds and presenting the reality of a truly interconnected society present the realization of the concept of smart societies. Drawing on 15 years of successful events, the 16th ICGS3-24 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. This Annual International Conference is an established platform in which security, safety, and sustainability issues can be examined from several global perspectives through dialogue between academics, students, government representatives, chief executives, security professionals, and research scientists from the UK and from around the globe.
Machine Learning End To End Guide For Java Developers
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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-10-05
Machine Learning End To End Guide For Java Developers written by Richard M. Reese and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Computers categories.
Develop, Implement and Tuneup your Machine Learning applications using the power of Java programming About This Book Detailed coverage on key machine learning topics with an emphasis on both theoretical and practical aspects Address predictive modeling problems using the most popular machine learning Java libraries A comprehensive course covering a wide spectrum of topics such as machine learning and natural language through practical use-cases Who This Book Is For This course is the right resource for anyone with some knowledge of Java programming who wants to get started with Data Science and Machine learning as quickly as possible. If you want to gain meaningful insights from big data and develop intelligent applications using Java, this course is also a must-have. What You Will Learn Understand key data analysis techniques centered around machine learning Implement Java APIs and various techniques such as classification, clustering, anomaly detection, and more Master key Java machine learning libraries, their functionality, and various kinds of problems that can be addressed using each of them Apply machine learning to real-world data for fraud detection, recommendation engines, text classification, and human activity recognition Experiment with semi-supervised learning and stream-based data mining, building high-performing and real-time predictive models Develop intelligent systems centered around various domains such as security, Internet of Things, social networking, and more In Detail Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning. The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books: Java for Data Science Machine Learning in Java Mastering Java Machine Learning On completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence. Style and approach This comprehensive course proceeds from being a tutorial to a practical guide, providing an introduction to machine learning and different machine learning techniques, exploring machine learning with Java libraries, and demonstrating real-world machine learning use cases using the Java platform.
Supporting The Understanding Of Team Dynamics In Agile Software Development Through Computer Aided Sprint Feedback
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Author : Fabian Kortum
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2022-03-15
Supporting The Understanding Of Team Dynamics In Agile Software Development Through Computer Aided Sprint Feedback written by Fabian Kortum and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Computers categories.
While modern project management systems support teams during planning and development activities, primarily through performance-related process information, the equally relevant human factors are often insufficiently considered for explaining team dynamics (e.g., the affect of moods in teams). However, understanding team behavioral patterns are crucial for the accurate planning and steady execution of development tasks throughout an ongoing project. A computer-aided feedback concept is described, unifying interdisciplinary foundations and methods from the software engineering, data science, organizational, and social psychology fields for disclosing team dynamics in agile software projects. The concept covers the systematic capture of sociotechnical data combined with descriptive, predictive, and exploratory model-based methods that support understanding behavioural changes during the development process. Design science from information systems research is used in academic and industrial case studies to conceptualize and operationalize the feedback methods into a practical Jira plugin. A concluding evaluation through an action research method in two industrial software projects results in quantitative and qualitative findings regarding the feedback utilization and utility during agile development processes (e.g., team communication changes related to accomplished performances). The case studies underscore the practical relevance for systematic feedback and the need to better understand human factors in software projects.
7th Eai International Conference On Management Of Manufacturing Systems
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Author : Lucia Knapčíková
language : en
Publisher: Springer Nature
Release Date : 2023-03-13
7th Eai International Conference On Management Of Manufacturing Systems written by Lucia Knapčíková and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Technology & Engineering categories.
The book presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022), which took place in Krynica-Zdrój, Poland, 05-07 October 2022. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering. Presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022); Covers topics such as Industry 4.0, smart logistics, smart cities, and intelligent manufacturing; Relevant for researchers, academics, and professionals.
Security With Intelligent Computing And Big Data Services 2019
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Author : Lakhmi C. Jain
language : en
Publisher: Springer Nature
Release Date : 2020-04-27
Security With Intelligent Computing And Big Data Services 2019 written by Lakhmi C. Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-27 with Computers categories.
This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This edited book is about basics and high level concepts regarding Blockchain Technology and Application, Multimedia Security, Information Processing, Security of Network, Cloud and IoT, Cryptography and Cryptosystem, Learning and Intelligent Computing, Information Hiding. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security related areas. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
Artificial Intelligence Assisted Identity And Access Management
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Author : Esther Chinwe Eze
language : en
Publisher: Deep Science Publishing
Release Date : 2025-02-16
Artificial Intelligence Assisted Identity And Access Management written by Esther Chinwe Eze and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-16 with Computers categories.
As businesses come to appreciate the need for Identity and Access Management (IAM) to protect their environments, they ensure that only permitted users can access sensitive data and systems. Growing companies need robust IAM solutions that enable them to handle user authentication, permissions, and access control more effectively, therefore underlining their need. Still, security breaches have been a major headache, even with the advances in IAM technologies. Cybercriminals are constantly improving their techniques to bypass conventional IAM policies, which has resulted in many security incidents and data breaches. Dealing with these security issues offers a promising solution by integrating Artificial Intelligence (AI) and Machine Learning (ML). By helping IAM systems recognize possible attacks that traditional methods could miss, AI and ML technologies provide sophisticated features for spotting unusual behavior patterns. Once an IAM attack is underway, these tools may help better identify unauthorized access, privilege escalation, and other suspect behavior. Machine learning algorithms are particularly well suited for this task as they can constantly learn and adjust from information, enhancing their precision over time. This study investigates the use of ML algorithms to improve the security of IAM systems, concentrating mainly on identifying attacks aimed at IAM servers, including OpenIAM and WSO2. Using Python code and WEKA, the study applies and experiments with different machine learning approaches, such as classification algorithms that can discern atypical behavioral patterns that point to IAM assaults. The research seeks to raise the detection rate of these assaults using machine learning, therefore giving another level of security for IAM systems. The study measures the performance of the suggested solution and its ability to spot possible risks using thorough dataset development, training, and validation of the models. The results of this study underline how combining IAM systems with machine learning could provide more reactive, real-time protection from emerging threats. Although challenges, including data constraints and the difficulty of feature selection, still exist, the findings indicate that artificial intelligence and machine learning might greatly strengthen the resilience of IAM systems. Further investigation could refine the models for even higher precision and broaden their use to other security situations, thereby adding to the larger field of cybersecurity.