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This chapter lays a foundation of the mathematical concepts and applications of artificial intelligence and machine learning in various fields of importance like behavioural, health, and applied sciences which form a strong base for future studies and research work. The mathematical principles behind fundamental machine learning concepts are highlighted and described in this chapter. The aim of this chapter is to develop a more in-depth understanding of the fundamental aspects in artificial intelligence and machine learning and to link practical inquiries that emerge from the application of machine learning with essential decisions in the mathematical model.

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Mathematical Approaches of Artificial Intelligence (ML) in Behavioral, Health and Applied Sciences

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  • 发表日期：

    2026年

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  • Garima Sharma

摘要

This chapter lays a foundation of the mathematical concepts and applications of artificial intelligence and machine learning in various fields of importance like behavioural, health, and applied sciences which form a strong base for future studies and research work. The mathematical principles behind fundamental machine learning concepts are highlighted and described in this chapter. The aim of this chapter is to develop a more in-depth understanding of the fundamental aspects in artificial intelligence and machine learning and to link practical inquiries that emerge from the application of machine learning with essential decisions in the mathematical model.