دانلود کتاب ریاضیات یادگیری ماشین در پایتون

Machine Learning (ML) is a subfield of Artificial Intelligence that focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data. The goal of ML is to extract meaningful patterns or representations from data, without being explicitly programmed. It is highly interdisciplinary, drawing from various fields such as statistics, optimization, linear algebra, and probability theory. Mathematics plays a crucial role in the theory and practice of machine learning. ML algorithms are based on mathematical principles and mathematical formalisms provide a solid foundation for understanding and analyzing these algorithms. Mathematics helps us quantify uncertainty, optimize model parameters, and make inference based on data. Furthermore, mathematical techniques are used to design and train neural networks, tune hyperparameters, and evaluate model performance.