BIG DATA PROCESSING AND ANALYTICS
(objectives)
The course will provide tools for the analysis of big data (audio, video, text) generated by modern information and communication systems and related services. Skills stemming from computer science, statistics and optimization will be introduced to provide the means for understanding, designing and implementing methods capable of managing complex amounts of data, and transforming them into useful and semantically relevant information. Topics to be discussed will include advanced principles of information theory (sparse coding, compressive sensing, random matrix), principles of statistical inference, methodologies for clustering the observed data, predictive analytics, and principles of constrained optimization based on elements of game theory.
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Code
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20810071 |
Language
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ITA |
Type of certificate
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Profit certificate
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Credits
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6
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Scientific Disciplinary Sector Code
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ING-INF/03
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Contact Hours
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42
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Type of Activity
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Core compulsory activities
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Teacher
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MAIORANA EMANUELE
(syllabus)
The course will provide tools for the analysis of big data (audio, video, text) generated by modern telecommunication systems and related services. Principles of statistical inference are introduced in the first part of the course. The theory of the main machine learnign techniques, including regression,linear classification, and dimensionality reduction, is then illustrated. Deep learning techniques are then detailed, discussing convolutional netural networks (CNNs), recurrent neural networks (RNNs), and combinations of both. also advanced concepts such as siamese networks, object detection, generative models and adversarial networks are treated. Practical exercises using Matlab and Python will be performed to show the application of the considered techniques to real-world scenarios.
(reference books)
Slide del corso.
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Dates of beginning and end of teaching activities
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From 01/03/2019 to 14/06/2019 |
Delivery mode
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Traditional
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Attendance
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not mandatory
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Evaluation methods
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Written test
Oral exam
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Note
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- |
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