Recent Advances in Logo Detection Using Machine Learning Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Advances in Logo Detection Using Machine Learning Paradigms write by Yen-Wei Chen. This book was released on . Recent Advances in Logo Detection Using Machine Learning Paradigms available in PDF, EPUB and Kindle.
Machine Learning Paradigms
Machine Learning Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Paradigms write by Maria Virvou. This book was released on 2019-03-16. Machine Learning Paradigms available in PDF, EPUB and Kindle. This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
Leveraging AI for Effective Digital Relationship Marketing
Leveraging AI for Effective Digital Relationship Marketing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Leveraging AI for Effective Digital Relationship Marketing write by Santos, José Duarte. This book was released on 2024-10-11. Leveraging AI for Effective Digital Relationship Marketing available in PDF, EPUB and Kindle. Todays businesses face the pressing challenge of how to effectively engage and build lasting relationships with customers in an increasingly crowded and competitive online space. Traditional marketing tactics are no longer sufficient to capture the attention and loyalty of modern consumers who demand personalized experiences and sustainable practices from the brands they support. This shifting paradigm necessitates innovative solutions that leverage cutting-edge technologies to enhance customer engagement and foster meaningful connections. Leveraging AI for Effective Digital Relationship Marketing addresses this critical dilemma by exploring the transformative potential of artificial intelligence (AI) in revolutionizing customer relationships. By harnessing the power of AI-driven strategies, businesses can gain deeper insights into individual customer behaviors and preferences, enabling them to deliver personalized interactions and anticipate customer needs with unparalleled accuracy. Through the implementation of AI-powered solutions, companies can navigate the complexities of digital marketing with confidence, positioning themselves as leaders in building sustainable and mutually beneficial relationships with their customers.
Machine Learning Paradigms
Machine Learning Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Paradigms write by George A. Tsihrintzis. This book was released on 2020-07-23. Machine Learning Paradigms available in PDF, EPUB and Kindle. At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Fusion of Machine Learning Paradigms
Fusion of Machine Learning Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Machine Learning Paradigms write by Ioannis K. Hatzilygeroudis. This book was released on 2023-02-06. Fusion of Machine Learning Paradigms available in PDF, EPUB and Kindle. This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
