AI Techniques for Data Analysis | Prakash Publications | MGU-UGP (Honours) | Semester 3 | Computer Application (Minor) | DSC B MG3DSCCMA200

AI Techniques for Data Analysis by Prakash Publications is a comprehensive undergraduate-level textbook designed for MGU-UGP (Honours) Semester 3 students pursuing Computer Application (Minor) under the course DSC B MG3DSCCMA200

The book provides a strong foundation in artificial intelligence concepts and their practical application in data analysis. It introduces students to essential AI techniques used for processing, analyzing, and interpreting large datasets, with an emphasis on real-wor…

AI Techniques for Data Analysis by Prakash Publications is a comprehensive undergraduate-level textbook designed for MGU-UGP (Honours) Semester 3 students pursuing Computer Application (Minor) under the course DSC B MG3DSCCMA200

The book provides a strong foundation in artificial intelligence concepts and their practical application in data analysis. It introduces students to essential AI techniques used for processing, analyzing, and interpreting large datasets, with an emphasis on real-world problem-solving and decision-making.

Key topics covered include fundamentals of artificial intelligence, data preprocessing methods, supervised and unsupervised learning techniques, classification and clustering algorithms, regression analysis, dimensionality reduction, and an introduction to neural networks. The content is structured to balance theoretical concepts with practical examples, making it accessible to students with basic programming and statistical knowledge.

Written in a student-friendly manner and aligned with the Mahatma Gandhi University (MGU) syllabus, this book serves as an ideal learning resource for understanding how AI techniques enhance modern data analysis. It is particularly useful for examinations, practical applications, and developing analytical skills required in data-driven domains.

AI Techniques for Data Analysis is an essential reference for undergraduate students aiming to build a solid foundation in artificial intelligence and data analytics within the computer applications discipline.