eBook - ePub
Cognitive Science, Computational Intelligence, and Data Analytics
Methods and Applications with Python
- 322 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Cognitive Science, Computational Intelligence, and Data Analytics
Methods and Applications with Python
About this book
Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.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
Information
Table of contents
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Foreword
- Overview of the book
- Chapter 1 Foundation of analytics
- Chapter 2 Foundation of cognitive science
- Chapter 3 Data theory and taxonomy of data
- Chapter 4 Multivariate data analytics and cognitive analytics
- Chapter 5 Artificial intelligence and machine learning application in data analysis
- Chapter 6 Data analysis applications and methodology
- Glossary
- Index
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Yes, you can access Cognitive Science, Computational Intelligence, and Data Analytics by Vikas Khare,Sanjeet Kumar Dwivedi,Monica Bhatia in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over 1.5 million books available in our catalogue for you to explore.