Enabling AI Applications in Data Science - 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 Enabling AI Applications in Data Science write by Aboul-Ella Hassanien. This book was released on 2020-09-23. Enabling AI Applications in Data Science available in PDF, EPUB and Kindle. This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.
Enabling Machine Learning Applications in Data Science
Enabling Machine Learning Applications in Data Science - 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 Enabling Machine Learning Applications in Data Science write by Aboul Ella Hassanien. This book was released on 2021. Enabling Machine Learning Applications in Data Science available in PDF, EPUB and Kindle. This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science. .
Enabling Machine Learning Applications in Data Science
Enabling Machine Learning Applications in Data Science - 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 Enabling Machine Learning Applications in Data Science write by Aboul Ella Hassanien. This book was released on 2021-05-27. Enabling Machine Learning Applications in Data Science available in PDF, EPUB and Kindle. This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.
Applications of Machine Learning in Big-Data Analytics and Cloud Computing
Applications of Machine Learning in Big-Data Analytics and Cloud Computing - 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 Applications of Machine Learning in Big-Data Analytics and Cloud Computing write by Subhendu Kumar Pani. This book was released on 2022-09-01. Applications of Machine Learning in Big-Data Analytics and Cloud Computing available in PDF, EPUB and Kindle. Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.
Challenges and Applications for Implementing Machine Learning in Computer Vision
Challenges and Applications for Implementing Machine Learning in Computer Vision - 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 Challenges and Applications for Implementing Machine Learning in Computer Vision write by Kashyap, Ramgopal. This book was released on 2019-10-04. Challenges and Applications for Implementing Machine Learning in Computer Vision available in PDF, EPUB and Kindle. Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
