CORNELL CS4780 "Machine Learning for Intelligent Systems
5.0
(3)
20 learners
What you'll learn
This course includes
- 31.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 41 lessons • 31.3 hours of video
CORNELL CS4780 "Machine Learning for Intelligent Systems"
41 lessons
• 31.3 hours
CORNELL CS4780 "Machine Learning for Intelligent Systems"
41 lessons
• 31.3 hours
- Lecture 1 "Supervised Learning Setup" -Cornell CS4780 Machine Learning for Decision Making SP17 47:49
- Lecture 2 "Supervised Learning Setup Continued" -Cornell CS4780 SP17 48:45
- Lecture 3 "k-nearest neighbors" -Cornell CS4780 SP17 49:42
- Lecture 4 "Curse of Dimensionality / Perceptron" -Cornell CS4780 SP17 47:43
- Lecture 5 "Perceptron" -Cornell CS4780 SP17 49:57
- Lecture 6 "Perceptron Convergence Proof" -Cornell CS4780 SP17 49:26
- Lecture 7 "Estimating Probabilities from Data: Maximum Likelihood Estimation" -Cornell CS4780 SP17 48:50
- Machine Learning Lecture 8 "Estimating Probabilities from Data: Naive Bayes" -Cornell CS4780 SP17 44:28
- Machine Learning Lecture 9 "Naive Bayes continued" -Cornell CS4780 SP17 38:52
- Machine Learning Lecture 10 "Naive Bayes continued" -Cornell CS4780 SP17 48:33
- Machine Learning Lecture 11 "Logistic Regression" -Cornell CS4780 SP17 47:39
- Machine Learning Lecture 12 "Gradient Descent / Newton's Method" -Cornell CS4780 SP17 49:19
- Machine Learning Lecture 13 "Linear / Ridge Regression" -Cornell CS4780 SP17 39:50
- Machine Learning Lecture 14 "(Linear) Support Vector Machines" -Cornell CS4780 SP17 49:59
- Machine Learning Lecture 15 "(Linear) Support Vector Machines continued" -Cornell CS4780 SP17 50:04
- Machine Learning Lecture 16 "Empirical Risk Minimization" -Cornell CS4780 SP17 46:33
- Machine Learning Lecture 17 "Regularization / Review" -Cornell CS4780 SP17 52:30
- Machine Learning Lecture 18 "Review Lecture II" -Cornell CS4780 SP17 50:48
- Machine Learning Lecture 19 "Bias Variance Decomposition" -Cornell CS4780 SP17 51:13
- Machine Learning Lecture 20 "Model Selection / Regularization / Overfitting" -Cornell CS4780 SP17 47:02
- Machine Learning Lecture 21 "Model Selection / Kernels" -Cornell CS4780 SP17 47:36
- Machine Learning Lecture 22 "More on Kernels" -Cornell CS4780 SP17 51:54
- Machine Learning Lecture 23 "Kernels Continued Continued" -Cornell CS4780 SP17 43:42
- Machine Learning Lecture 24 "Kernel Support Vector Machine" -Cornell CS4780 SP17 50:07
- Machine Learning Lecture 25 "Kernelized algorithms" -Cornell CS4780 SP17 49:28
- Machine Learning Lecture 26 "Gaussian Processes" -Cornell CS4780 SP17 52:41
- Machine Learning Lecture 27 "Gaussian Processes II / KD-Trees / Ball-Trees" -Cornell CS4780 SP17 50:53
- Machine Learning Lecture 28 "Ball Trees / Decision Trees" -Cornell CS4780 SP17 48:59
- Machine Learning Lecture 29 "Decision Trees / Regression Trees" -Cornell CS4780 SP17 50:23
- Machine Learning Lecture 30 "Bagging" -Cornell CS4780 SP17 49:43
- Machine Learning Lecture 31 "Random Forests / Bagging" -Cornell CS4780 SP17 47:25
- Machine Learning Lecture 32 "Boosting" -Cornell CS4780 SP17 48:27
- Machine Learning Lecture 33 "Boosting Continued" -Cornell CS4780 SP17 47:54
- Machine Learning Lecture 34 "Boosting / Adaboost" -Cornell CS4780 SP17 48:40
- Machine Learning Lecture 35 "Neural Networks / Deep Learning" -Cornell CS4780 SP17 49:39
- Machine Learning Lecture 36 "Neural Networks / Deep Learning Continued" -Cornell CS4780 SP17 51:57
- Machine Learning Lecture 37 "Neural Networks / Deep Learning" -Cornell CS4780 SP17 51:00
- In-class Kaggle Competition in less than 5 Minutes 08:56
- Machine Learning Certificate from Cornell University 01:16
- CS4780 Transformers (additional lecture 2023) 57:28
- The DBSCAN Clustering Algorithm Explained 08:28
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