Introduction to Machine Learning
10-315, Fall 2019
Carnegie Mellon University
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Note: this is a tentative lecture schedule that is subject to change.
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| Date |
Lecture |
Slides |
Useful links |
HWs |
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| August 26 Monday |
Introduction |
Lecture1.pdf |
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| August 28 Wednesday |
Bayes Optimal Classifier |
Lecture2.pdf |
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QnA 1 Out |
| September 2 Monday |
Labor Day -- No class |
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| September 4 Wednesday |
Decision Boundary, Naive Bayes, MLE |
Lecture3.pdf |
Mitchell_Ch |
QnA 1 due, HW1 out (Naive Bayes & LR) |
| September 9 Monday |
Naive Bayes, MAP, Continuous features |
Lecture4.pdf |
Mitchell_Ch (Secs 1-2) |
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| September 11 Wednesday |
Logistic Regression |
Lecture5.pdf |
Mitchell_Ch (Secs 3-5) |
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| September 16 Monday |
Neural Networks |
Lecture6.pdf |
BackPropDerivation.pdf |
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| September 18 Wednesday |
Convolutional Neural Networks |
Lecture6contd.pdf,
Lecture7.pdf |
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HW1 due, QnA 2 out |
| September 23 Monday |
Case study: NN implementation details |
Lecture8.pdf |
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| September 25 Wednesday |
Support Vector Machines - I |
Lecture9.pdf |
Tutorial on SVM - Secs 3,4 |
QnA 2 due, HW2 out (NNs and SVMs) |
| September 30 Monday |
Support Vector Machines - II |
Lecture10.pdf (corrected) |
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| October 2 Wednesday |
Kernel Trick |
Lecture11.pdf |
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| October 7 Monday |
Decision Trees |
Lecture12.pdf |
Mitchell: Ch 3 |
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| October 9 Wednesday |
Boosting |
Lecture13.pdf |
Schapire: Boosting Tutorial, Video |
HW2 due |
| October 14 Monday |
kNN and Model Selection |
Lecture14.pdf |
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| October 16 Wednesday |
Midterm Exam |
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QnA 3 out |
| October 21 Monday |
Class canceled |
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| October 23 Wednesday |
Linear Regression |
Lecture15.pdf |
Bishop: Sec 3.1 |
QnA 3 due, HW3 out (Regression) |
| October 28 Monday |
Regularized Least Squares Regression |
Lecture16.pdf |
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| October 30 Wednesday |
Nonlinear and Kernel Regression |
Lecture17.pdf |
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Project Task 1 due |
| November 4 Monday |
Student Presentations 1 |
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| November 6 Wednesday |
Principal Component Analysis (PCA) |
Lecture18.pdf |
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HW3 due, HW4 out (Unsupervised) |
| November 11 Monday |
Clustering |
Lecture19.pdf |
Bishop: Ch 9 |
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| November 13 Wednesday |
Mixture Models & EM |
Lecture20.pdf |
Bishop: Ch 9 |
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| November 18 Monday |
Nonparametric Density Estimation |
Lecture21.pdf |
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| November 20 Wednesday |
Learning Theory |
Lecture22.pdf |
Mitchell: Ch 7 |
HW4 due, QnA 4 out |
| November 25 Monday |
Learning Theory |
Lecture23.pdf |
Mitchell: Ch 7 |
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| November 27 Wednesday |
Thanksgiving -- No class |
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QnA 4 due |
| December 2 Monday |
Exam Review |
ReviewTopics |
PracticeQs |
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| December 4 Wednesday |
Final Exam |
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Project predictions due Dec 5, report due Dec 6 |
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