Lecture Introduction to Machine learning and Data mining

Lecture Introduction to Machine learning and Data mining: Lesson 1. This lesson provides students with content about: data collection and currency processing; recovery time; reporting data collection system; extract semantic symbols; convert data text;... Please refer to the detailed content of the lecture!

30p hanlamcoman 26-11-2022 17 5   Download

Lecture Introduction to Machine learning and Data mining: Lesson 3. This lesson provides students with content about: unsupervised learning; clustering; basic learning problems; partition-based clustering; evaluation of clustering quality;... Please refer to the detailed content of the lecture!

30p hanlamcoman 26-11-2022 16 5   Download

Lecture Introduction to Machine learning and Data mining: Lesson 4. This lesson provides students with content about: supervised learning; K-nearest neighbors; neighbor-based learnin; multiclass classification/categorization; distance/similarity measure;... Please refer to the detailed content of the lecture!

23p hanlamcoman 26-11-2022 17 5   Download

Lecture Introduction to Machine learning and Data mining: Lesson 7. This lesson provides students with content about: evaluation of empirical results; assessing performance; some evaluation techniques; hold-out (random splitting); K-fold cross-validation;... Please refer to the detailed content of the lecture!

26p hanlamcoman 26-11-2022 10 5   Download

Lecture Introduction to Machine learning and Data mining: Lesson 9.2. This lesson provides students with content about: probabilistic modeling; expectation maximization; intractable inference; the Baum-Welch algorithm;... Please refer to the detailed content of the lecture!

20p hanlamcoman 26-11-2022 10 5   Download

Lecture Introduction to Machine learning and Data mining: Lesson 10. This lesson provides students with content about: regularization; revisiting overfiting; the bias-variance decomposition; bias-variance tradeoff; regularization in ridge regression; regularization in lasso;... Please refer to the detailed content of the lecture!

25p hanlamcoman 26-11-2022 10 5   Download

Lecture Introduction to Machine learning and Data mining: Lesson 2. This lesson provides students with content about: supervised learning; linear regression; linear model; learning a regression function; loss function; empirical loss;... Please refer to the detailed content of the lecture!

23p hanlamcoman 26-11-2022 7 4   Download

Lecture Introduction to Machine learning and Data mining: Lesson 5. This lesson provides students with content about: supervised learning; decision tree; random forest; tree representation; learning a decision tree by ID3;... Please refer to the detailed content of the lecture!

33p hanlamcoman 26-11-2022 12 4   Download

Lecture Introduction to Machine learning and Data mining: Lesson 6. This lesson provides students with content about: supervised learning; support vector machines; linear separability assumption; separating hyperplane; hyperplane with max margin;... Please refer to the detailed content of the lecture!

49p hanlamcoman 26-11-2022 15 4   Download

Lecture Introduction to Machine learning and Data mining: Lesson 8. This lesson provides students with content about: supervised learning; artificial neural network; structure of a neuron; activation function - hard-limited; rectified linear unit;... Please refer to the detailed content of the lecture!

68p hanlamcoman 26-11-2022 11 4   Download

Lecture Introduction to Machine learning and Data mining: Lesson 9.1. This lesson provides students with content about: probabilistic modeling; key concepts; application to classification and clustering; measurement uncertainty; basics of probability theory;... Please refer to the detailed content of the lecture!

45p hanlamcoman 26-11-2022 13 4   Download