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        <dc:date>2019-04-02T17:18:30+0200</dc:date>
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        <description>Semestral projects

During the semester you shall finish 2 semestral projects:
Semestral project 1a: Machine learningSemestral project 1b: Machine learningSemestral project 2: Hidden Markov Models</description>
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        <dc:date>2019-04-02T11:57:54+0200</dc:date>
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        <title>courses:ui:tasks:task1a</title>
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        <description>Project 1a: Spam classification

The goal of the task is to create a spam filter. 
[Task description][filter_template.py][Data][Word][LaTeX]
You should submit

	*  Python module filter.py with the filter of your choice,
	*  report describing what you have done, and
	*  Python modules/scripts demonstrating what you have done.</description>
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        <dc:date>2019-04-04T09:07:35+0200</dc:date>
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        <title>courses:ui:tasks:task1b</title>
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        <description>Project 1b: Fetal acidosis classification

The goal of the task is to create a fetal acidosis classifier. 
[Task description][fetal_acidosis_classification.py][utils.py][Data][Word][LaTeX]
You should submit

	*  Python module fetal_acidosis_classification.py with the model of your choice,
	*  report describing what you have done, and</description>
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        <dc:date>2019-04-23T12:43:46+0200</dc:date>
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        <title>courses:ui:tasks:task2</title>
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        <description>Semestral project 2: Hidden Markov Models

The details will be published later.

The goal of this project is to apply and study Hidden Markov Models and related algorithms.
[Task description][Python code][Word][LaTeX]
You should submit

	*  Python module hmm_inference.py with your implementation of the inference algorithms,</description>
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