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didattica:ay2223:fml:main [2023/01/10 18:41] – marcop | didattica:ay2223:fml:main [2023/02/14 23:22] – marcop | ||
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- | ====== Fundamentals of Machine Learning ====== | + | {{ : |
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* Evaluation Metrics (AUC, ROC, Confusion Matrix...) | * Evaluation Metrics (AUC, ROC, Confusion Matrix...) | ||
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- | * Markov Chains and Hidden Markov Models | ||
* Examples of coding in Python | * Examples of coding in Python | ||
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* Support Vector Machines (Proof of the maximum margin) | * Support Vector Machines (Proof of the maximum margin) | ||
- | * Reinforcement Learning | ||
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* 24/10/2022 {{didattica: | * 24/10/2022 {{didattica: | ||
* 25/10/2022 <wrap em>** Please refer to 24/ | * 25/10/2022 <wrap em>** Please refer to 24/ | ||
- | * 07/ | + | * 07/ |
* 08/11/2022 <wrap em>** Please refer to 24/ | * 08/11/2022 <wrap em>** Please refer to 24/ | ||
* 14/11/2022 {{didattica: | * 14/11/2022 {{didattica: | ||
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- | * 21/11/2022 {{didattica: | + | * 21/11/2022 {{didattica: |
* 22/11/2022 <wrap em>** Cancelled **</ | * 22/11/2022 <wrap em>** Cancelled **</ | ||
* 28/11/2022 <wrap em>** Cancelled **</ | * 28/11/2022 <wrap em>** Cancelled **</ | ||
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* 05/12/2022 <wrap em>** Cancelled **</ | * 05/12/2022 <wrap em>** Cancelled **</ | ||
* 06/12/2022 <wrap em>** Cancelled **</ | * 06/12/2022 <wrap em>** Cancelled **</ | ||
- | * 12/12/2022 {{didattica: | + | * 12/12/2022 {{didattica: |
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- | * 19/12/2022 <wrap em>** Please refer to 12/ | + | * 19/12/2022 <wrap em>** Please refer to 13/ |
- | * 20/12/2022 <wrap em>** Please refer to 12/ | + | * 20/12/2022 <wrap em>** Please refer to 13/ |
- | * 09/01/2023 <wrap em>** Please refer to 12/ | + | * 09/01/2023 <wrap em>** Please refer to 13/ |
* 10/01/2023 {{didattica: | * 10/01/2023 {{didattica: | ||
+ | * 16/01/2023 {{didattica: | ||
+ | * 17/01/2023 {{didattica: | ||
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