Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python
Language: English
Published by Morgan Kaufmann, 2024
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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Add to basketItem description from seller
In English.
Seller Inventory # ria9780443160783_new
- Title
- Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python
- Author
- Khare PhD, Vikas; Dwivedi, Sanjeet Kumar; Bhatia MD, Monica
- Publisher
- Morgan Kaufmann
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443160783
- ISBN 13
- 9780443160783
- Item weight
- 810 grams
The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.
- Demystifies the theory of data analytics using a step-by-step approach
- Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code
- Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools
- Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications
"Synopsis" may belong to another edition of this title.
About the Author
Sanjeet Kumar Dwivedi, PhD, is an adjunct professor at Curtin University, Perth, Australia and is working as a scrum master and senior R&D engineer in control engineering, application, and motor control for Danfoss Power Electronics, Graasten, Denmark since 2008, where he is conducting research on new control techniques in power electronics and motor drives. He has authored more than 40 technical papers and holds 3 international patents.
Monica Bhatia, PhD, is a faculty member at the School of Business Management, NMIMS, India. She holds an MBA and a PhD and is certified by NET, NCFM, and IRDA. Dr. Bhatia has extensive professional experience in training and business development within
both corporate and educational sectors, covering a wide range of areas such as renewable energy, operational management, data analysis, cognitive science, career development, marketing management, communication skills, interpersonal relations, and workplace professionalism. She has conducted life skills training for students and trainers from various nationalities and with diverse accents, and has been involved in consulting projects on e-commerce, product strategy, marketing strategy, and business processes.
"About the title" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
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