HOML = Hands-On Machine Learning
Class # | Date | Topic | Reading | Assignment | Due |
1 | Tue, Aug 20 | Class Introduction Taxonomy of Machine Learning Methods | Syllabus | ||
2 | Thu, Aug 22 | Computing Environment and Python Basics | HOML CH 1 | ||
3 | Tue, Aug 27 | Python Basics II | TBD | HW0 | |
4 | Thu, Aug 29 | Representing Data I: Pandas and Numpy | HOML CH 2 | ||
5 | Tue, Sep 3 | Representing Data II: Statistics and Visualization | cont | HW 1 | HW0 |
6 | Thu, Sep 5 | Representing Data III: Pipelines and Transformations | cont | ||
7 | Tue, Sep 10 | Classifiers I | HOML CH 3 | HW 2 | HW 1 |
8 | Thu, Sep 12 | Classifiers II | cont | ||
9 | Tue, Sep 17 | Feature Importance | cont | HW3 | HW 2 |
10 | Thu, Sep 19 | Linear Regression I | HOML CH 4 (pp. 105-110) | ||
11 | Tue, Sep 24 | Linear Regression II: Gradient Methods | cont pp. 111-121 | HW 4 | HW3 |
12 | Thu, Sep 26 | Polynomial Regression | cont pp. 121-127 | ||
13 | Tue, Oct 1 | Overfitting and Regularization | cont pp. 127-134 | HW 5 | HW4 |
14 | Thu, Oct 3 | Cross-Validation | Splitting data sets (focus on the high-level view) | ||
15 | Tue, Oct 8 | Hyperparameter Selection | TBD | HW 6 | HW 5 |
16 | Thu, Oct 10 | Formally Comparing Models | TBD | ||
17 | Tue, Oct 15 | Logistic Regression | HOML CH4, pp. 134-142 | ||
18 | Thu, Oct 17 | Support Vector Machines | HOML CH 5 | HW 7 | HW 6 |
19 | Tue, Oct 22 | Support Vector Machines | cont | ||
20 | Thu, Oct 24 | Decision Trees: Basics | HOML CH 6 | ||
21 | Tue, Oct 29 | Decision Trees: Regression | cont | HW 8 | HW 7 |
22 | Thu, Oct 31 | Decision Trees: Ensemble Methods | HOML CH 7 | ||
23 | Tue, Nov 5 | Decision Trees: Random Forests | cont | HW 9 | |
24 | Thu, Nov 7 | Decision Trees: Boosting | cont | HW 8 | |
25 | Tue, Nov 12 | Principal Component Analysis Kernel PCA | HOML CH 8 | HW 10 | HW 9 |
26 | Thu, Nov 14 | Local Linear Embedding | cont | ||
27 | Tue, Nov 19 | Multidimensional Scaling | cont | HW 11 | HW 10 |
28 | Thu, Nov 21 | ISOmap | cont | ||
29 | Tue, Nov 26 | Unsupervised Learning: K-Means Clustering | TBD | HW 12 | HW 11 |
- | - | Thanksgiving Holiday | |||
30 | Tue, Dec 3 | Semi-Supervised Learning | TBD | ||
31 | Thu, Dec 5 | Clustering: Gaussian Mixture Models | TBD | HW 12 | |
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