Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python - eBook



Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python is a comprehensive guide that introduces foundational concepts in data analysis, cognitive science, and computational intelligence, including artificial intelligence and machine learning. The book highlights essential methodologies and tools such as mathematical programming, evolutionary simulation, machine learning, and logic-based models, demonstrating their application across diverse data analysis techniques.

Readers explore both theoretical and practical aspects of cognitive science and data analytics, examining data through descriptive, evolutionary, and applied perspectives. The authors discuss the historical evolution of cognitive analytics and address key methodological challenges related to philosophy, syntax, semantics, generative linguistics, memory theory, and processing frameworks. The book covers analysis of both structured and unstructured data, incorporating qualitative and quantitative measures across nominal, ordinal, interval, and ratio scales.

Designed to cater to varying levels of expertise, the ebook includes detailed discussions on multivariate analysis, CRISP-DM, and SEMMA methodologies. Each chapter offers practical learning through real-world case studies, applied algorithms, and Python programming examples, enabling readers to effectively implement the concepts presented.

Key features include:
- A clear, step-by-step explanation of data analytics theory
- Introduction to foundational techniques like CRISP-DM, SEMMA, and Object Detection Models within computational intelligence
- Coverage of multivariate and cognitive data analytics topics such as factor analysis, principal component analysis, linear and logistic regression, and value chain applications
- Integration of cognitive science, computational intelligence, and data analytics through applied examples, mathematics, and Python code

**eBook Details:**
- **Authors:** Vikas Khare, Sanjeet Kumar Dwivedi, Monica Bhatia
- **Format:** ePub and PDF
- **Length:** 326 pages
- **Publisher:** Morgan Kaufmann
- **Language:** English
- **ISBN-10:** 0443160791, 0443160783
- **ISBN-13:** 9780443160790, 9780443160783


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