Data Analysis, Machine Learning and Applications - 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 Data Analysis, Machine Learning and Applications write by Christine Preisach. This book was released on 2008-04-13. Data Analysis, Machine Learning and Applications available in PDF, EPUB and Kindle. Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Big Data Analysis and Deep Learning Applications
Big Data Analysis and Deep Learning Applications - 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 Big Data Analysis and Deep Learning Applications write by Thi Thi Zin. This book was released on 2018-06-06. Big Data Analysis and Deep Learning Applications available in PDF, EPUB and Kindle. This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.
Data Analysis, Machine Learning and Knowledge Discovery
Data Analysis, Machine Learning and Knowledge Discovery - 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 Data Analysis, Machine Learning and Knowledge Discovery write by Myra Spiliopoulou. This book was released on 2013-11-26. Data Analysis, Machine Learning and Knowledge Discovery available in PDF, EPUB and Kindle. Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012.
Deep Learning in Data Analytics
Deep Learning in Data Analytics - 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 Deep Learning in Data Analytics write by Debi Prasanna Acharjya. This book was released on 2021-08-11. Deep Learning in Data Analytics available in PDF, EPUB and Kindle. This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges - 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 and Big Data Analytics Paradigms: Analysis, Applications and Challenges write by Aboul Ella Hassanien. This book was released on 2020-12-14. Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges available in PDF, EPUB and Kindle. This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
