* 책
<선형대수학>
1. 길버트 스트랭, Introduction to Linear algebra
2. Lay, Linear Algebra and Its Application
3. Axler, Linear Algebra Done right
4. Roman, Advanced Linear Algebra
<확률론/측도론>
1. A first course in Probability ( Ross)
2. Introduction to Probability (Bertsekas)
3. Foundation of the Thoery of Probability (Kolomogorov)
4. Probability and Stochastics (Cinlar)
5. Probability and Random Variables : Theory and Applications (Song et al)
6. A basic course in Measure and Probability : Theory for Applications ( Leadbetter et al)
<해석학>
1. Principles of mathematical Analysis (Rudin)
2. 해석학 첫걸음 (스티븐 애벗, 한빛아카데미)
3. Real Analysis : A Long-Form of Mathematics Textbook (Jay Cummings)
4. Understanding Analysis 2nd edition (Abbott)
<종합선물세트>
1. Algebra, Topology, Differential Calculus, and Optimization Theory For computer science and Mahcine Learning
(Jean Gallier et al. / 구글에 pdf 다운 가능)
<유튜브 강의>
1. The bright side of mathematics
2. 수학의 즐거움
추후 위상수학, 함수해석학, 미분방정식 등의 콘텐츠도 지속적으로 업데이트할 예정입니다.
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