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Enabling AI Applications in Data Science

2020-09-23 Computers
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Release : 2020-09-23
Genre : Computers
Kind : eBook
Book Rating : 676/5 ( reviews)

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Book Synopsis Enabling AI Applications in Data Science by : Aboul-Ella Hassanien

Download or read book Enabling AI Applications in Data Science written by Aboul-Ella Hassanien. This book was released on 2020-09-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence, Data Science and Applications

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Kind : eBook
Book Rating : 657/5 ( reviews)

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Book Synopsis Artificial Intelligence, Data Science and Applications by : Yousef Farhaoui

Download or read book Artificial Intelligence, Data Science and Applications written by Yousef Farhaoui. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Applying Data Science

2021-09-14 Computers
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Release : 2021-09-14
Genre : Computers
Kind : eBook
Book Rating : 772/5 ( reviews)

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Book Synopsis Applying Data Science by : Arthur K. Kordon

Download or read book Applying Data Science written by Arthur K. Kordon. This book was released on 2021-09-14. Available in PDF, EPUB and Kindle. Book excerpt: This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.

Trends of Data Science and Applications

2021-03-21 Computers
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Release : 2021-03-21
Genre : Computers
Kind : eBook
Book Rating : 152/5 ( reviews)

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Book Synopsis Trends of Data Science and Applications by : Siddharth Swarup Rautaray

Download or read book Trends of Data Science and Applications written by Siddharth Swarup Rautaray. This book was released on 2021-03-21. Available in PDF, EPUB and Kindle. Book excerpt: This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.

Data Science and Its Applications

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

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Book Synopsis Data Science and Its Applications by : Aakanksha Sharaff

Download or read book Data Science and Its Applications written by Aakanksha Sharaff. This book was released on 2021-08-18. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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