Cornell CS 5787: Applied Machine Learning. Lecture 20. Part 4: Evaluating Regression Models Volodymyr Kuleshov 9:12 3 years ago 597 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 20. Part 2: Evaluating Classification Models Volodymyr Kuleshov 18:06 3 years ago 847 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 6. Part 4: Logistic Regression Volodymyr Kuleshov 24:28 3 years ago 2 247 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 22. Part 4: Distribution Mismatch Volodymyr Kuleshov 11:53 3 years ago 1 843 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 5. Part 4: Extensions of Maximum Likelihood Volodymyr Kuleshov 21:51 3 years ago 2 529 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 16. Part 3: Unsupervised Learning in Practice Volodymyr Kuleshov 14:53 3 years ago 704 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 4. Part 2: Why Does Supervised Learning Work? Volodymyr Kuleshov 18:16 3 years ago 2 881 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 22. Part 1: Learning Curves Volodymyr Kuleshov 22:12 3 years ago 7 223 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 22. Part 3: Validation Curves Volodymyr Kuleshov 4:30 3 years ago 2 086 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 11. Part 4: Types of Kernels Volodymyr Kuleshov 28:45 3 years ago 837 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 21. Part 2: Bias / Variance Analysis Volodymyr Kuleshov 28:58 3 years ago 1 022 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 3. Part 1: Optimization and Calculus Volodymyr Kuleshov 28:50 3 years ago 7 268 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 4. Part 3: Overfitting and Underfitting Volodymyr Kuleshov 14:13 3 years ago 2 687 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 16. Part 1: Introduction to Unsupervised Learning Volodymyr Kuleshov 18:15 3 years ago 1 181 Далее Скачать
Applied Machine Learning. Lecture 18. Part 4: Generalization in Probabilistic Models Volodymyr Kuleshov 13:53 3 years ago 550 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 13. Part 3: Gradient Boosting Volodymyr Kuleshov 37:20 3 years ago 1 069 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 17. Part 1: Unsupervised Probabilistic Models Volodymyr Kuleshov 13:32 3 years ago 806 Далее Скачать
Cornell CS 5787: Applied Machine Learning. Lecture 5. Part 2: Monte Carlo Estimation Volodymyr Kuleshov 11:38 3 years ago 3 590 Далее Скачать