📌논문은 미리미리 읽기! QnA도 미리미리 하기! 차수 (일주일 단위)이름선택보편적으로 사용되는 분야 (정해진 것은 아님,classification model이 regression할 수 있도록 할 수 있다)참고 자료텍스트1-1.#01. IntroductionmidFeb 27, 20241-2.#02. Linear RegressionmidRegressionsupervisedFeb 29, 20242-1.#03. Logistic Regression (Classification)midClassificationsupervisedMar 5, 20242-2.#04. OverfittingmidMar 7, 20243-1.#05. Neural NetworkmidRegressionClassificationsupervisedMar 12, 20243-2.#06. SVM part1: basicmidClassificationsupervisedMar 14, 20244-1.#07. SVM part2: kernel trickmidClassificationsupervisedMar 19, 20244-2.#08. Naive Bayesian / KNNmidClassificationsupervisedMar 21, 20245-1.#09. Decision TreemidClassificationsupervisedMar 26, 20246-1.#10. Ensemble MethodmidClassificationsupervisedApr 2, 20246-2.#11. Clustering part1midClassificationunsupervisedApr 4, 20247-1.#12. Clustering part2midClassificationApr 11, 20247-2.#13. Dimensionality Reduction(PCA/Auto-encoder)finClassificationApr 9, 20248-1.#14. Rcommander Systems for Solving Industrial Problems finClassificationunsupervisedApr 23, 20249-1.#15. Collaborative FilteringfinClassificationApr 30, 20249-2.#16. Semi-Supervised Learningfinsemi supervisedMay 2, 202410-1.#17. Active Learningfinsemi supervisedMay 2, 202411-1.#18. Sequential LearningfinClassificationMay 7, 202412-1.#19. Reinforcement LearningfinClassificationMay 14, 202499-1.#99. Paper Review(1)paper reviewMar 28, 202499-2.#99. Paper Review(2)paper reviewApr 25, 202499-3.#99. Paper Review(3)paper review100-1.#100. QnAQnA
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