Machine Intelligence and Data Science Applications

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Release : 2022-08-01
Genre : Technology & Engineering
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Book Rating : 477/5 ( reviews)

Machine Intelligence and Data Science 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 Machine Intelligence and Data Science Applications write by Vaclav Skala. This book was released on 2022-08-01. Machine Intelligence and Data Science Applications available in PDF, EPUB and Kindle. This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Proceedings of International Conference on Machine Intelligence and Data Science Applications

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Release : 2021
Genre : Artificial intelligence
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Book Rating : 878/5 ( reviews)

Proceedings of International Conference on Machine Intelligence and Data Science 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 Proceedings of International Conference on Machine Intelligence and Data Science Applications write by Manish Prateek. This book was released on 2021. Proceedings of International Conference on Machine Intelligence and Data Science Applications available in PDF, EPUB and Kindle. This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Data Science and Its Applications

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Release : 2021-08-18
Genre : Computers
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Book Rating : 000/5 ( reviews)

Data Science and Its 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 Science and Its Applications write by Aakanksha Sharaff. This book was released on 2021-08-18. Data Science and Its Applications available in PDF, EPUB and Kindle. The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.

Data Science

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Release : 2022-08-15
Genre : Business & Economics
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Book Rating : 429/5 ( reviews)

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 Data Science write by Pallavi Vijay Chavan. This book was released on 2022-08-15. Data Science available in PDF, EPUB and Kindle. This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features • Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. • Presents predictive outcomes by applying data science techniques to real-life applications. • Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. • Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

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Release : 2020-12-14
Genre : Computers
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Book Rating : 24X/5 ( reviews)

Machine Intelligence and Big Data Analytics for Cybersecurity 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 Machine Intelligence and Big Data Analytics for Cybersecurity Applications write by Yassine Maleh. This book was released on 2020-12-14. Machine Intelligence and Big Data Analytics for Cybersecurity Applications available in PDF, EPUB and Kindle. 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. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.