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Showing results 1 to 6 of 6

Sách/Book

Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing

Authors: Kumar, Sunil (2023)

This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers

TVS.005092_TT_(Lecture Notes on Data Engineering and Communications Technologies, 160) Fausto Pedro García Márquez, Isaac Segovia Ramírez, Pedro José.pdf.jpg

Sách/Book

IoT and Data Science in Engineering Management: Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management ... and Communications Technologies

Authors: Bernalte Sánchez, Pedro José (2023)

The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on Industrial Engineering and Industrial Management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in Operations Management and in Decision Sciences.

TVS.005099_TT_(Communications in Computer and Information Science, 1763) Nilay Khare, Deepak Singh Tomar, Mitul Kumar Ahirwal, Vijay Bhaskar Semwal, V.pdf.jpg

Sách/Book

Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19–20, 2023

Authors: Semwal, Vijay Bhaskar (2023)

The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.

TVS.005376_TT_(Lecture Notes in Electrical Engineering, 946) Rajesh Doriya, Badal Soni, Anupam Shukla, Xiao-Zhi Gao - Machine Learning, Image Processi.pdf.jpg

Sách/Book

Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021

Authors: Doriya, Rajesh (2023)

This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.

TVS.005074_TT_(Texts in Computer Science) Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh - Mathematical Foundations of Data.pdf.jpg

Sách/Book

Mathematical Foundations of Data Science

Authors: Hrycej, Tomas (2023)

This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success

Sách/Book

Training Data for Machine Learning: Human Supervision from Annotation to Data Science

Authors: Sarkis, Anthony (2023)

Training Data controls the system by defining the ground truth goals for the creation of Machine Learning models. This involves technical representations, people decisions, processes, tooling, system design, and a variety of new concepts specific to Training Data. In a sense, a Training Data mindset is a paradigm upon which a growing list of theories, research and standards are emerging. A Machine Learning (ML) Model that is created as the end result of a ML Training Process.