It's all analytics! : the foundations of AI, big data, and data science landscape for professionals in healthcare, business, and government / / Scott Burk and Gary Miner

• Record Nr.: UNINA9910819598403321
• Autore: Burk Scott William <1961->
• Pubbl/distr/stampa: Boca Raton, Florida ; ; London ; ; New York : , : CRC Press : , : HIMSS, , 2021
• ISBN: 1-000-06720-3; 0-429-34398-1
• Descrizione fisica: 1 online resource (309 pages)
• Disciplina: 006.3
• Soggetti: Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Sommario/riassunto: "Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a compilation of methodologies. But, AI (Artificial Intelligence), statistics, decision science, optimization which have been around for decades has resurged. Also, things like business intelligence, On-line Analytical Processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series"--

4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering : ICAIAME 2022 / / edited by D. Jude Hemanth, Tuncay Yigit, Utku Kose, Ugur Guvenc

• Record Nr.: UNINA9910728392403321
• Autore: Hemanth D. Jude
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
• ISBN: 9783031319563; 3031319567
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (779 pages)
• Collana: Engineering Cyber-Physical Systems and Critical Infrastructures, , 2731-5010 ; ; 7
• Altri autori (Persone): YigitTuncay; KoseUtku; GuvencUgur
• Disciplina: 006.3
• Soggetti: Computational intelligence; Artificial intelligence; Engineering - Data processing; Computational Intelligence; Artificial Intelligence; Data Engineering
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Sentiment Analysis in Turkish using Transformer-based Deep Learning Models -- Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range -- Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods -- Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems -- A Color Channel Based Analysis on Image Tessellation -- Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN) -- Change of the Internet with Blockchain and Metaverse Technologies -- A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets -- Decision Trees in Causal Inference -- The Resilience of Unmanned ; Aerial Vehicles to Cyberattacks and Assessment of Potential Threats.
• Sommario/riassunto: As general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.