توضیحات
Mathematical Methods in Data Science provides a thorough overview of the mathematical foundations critical for data science applications. It covers topics such as linear algebra for handling multidimensional data, calculus for understanding optimization and modeling, probability and statistics for analyzing uncertainty, and numerical methods for computation. The book emphasizes practical applications of these methods in real-world data analysis, machine learning, and predictive modeling, helping readers build a strong theoretical and practical understanding of the field.
نقد و بررسیها
هنوز بررسیای ثبت نشده است.