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Tuesday, May 25 |
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Wednesday, May 26 |
| 10:00 |
Welcome (Francis) |
10:00 |
Day 1 recap and technology check |
| 10:45 |
Module 1: Introduction to Machine Learning (Lecture) |
10:15 |
Module 5: Hidden Markov Models (Lecture and Lab) |
| 12:15 |
Break |
11:30 |
Break |
| 12:45 |
Module 2: Decision Trees (Lecture and Lab) |
12:00 |
Module 6: Gene Finding with NNs and HMMs (Lecture and Lab) |
| 14:15 |
Break |
14:00 |
Break |
| 15:00 |
Module 3: Neural Networks (Lecture and Lab) |
15:00 |
Module 7: Machine Learning with Keras and Scikit-learn (Lecture and Lab) |
| 16:30 |
Break |
16:15 |
Break |
| 17:00 |
Module 4: Neral Networks for secondary structure (Lecture and Homework) |
16:45 |
Module 8: Machine Learning with Keras and Scikit-learn (Lecture and Lab) |
| 18:00 |
|
17:45 |
Survey & Closing Remarks |
