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Statistical Inference and Machine Learning
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Academic year 2019/2020
- Teacher
- Prof. Michele Caselle (Lecturer)
- Modular course
- Year
- 1st year
- Type
- NA
- Credits/Recognition
- 1
- Course disciplinary sector (SSD)
- FIS/02 - fisica teorica, modelli e metodi matematici
- Delivery
- na
- Language
- English
- Attendance
- NA
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Sommario del corso
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Program
The course is organized in four modules for a total of 8 hours
Each module is composed by a set of video-registered lectures and an
online Q&A session.
The video-registered lectures for the first two modules will be available
at the end of may and will be followed by an online Q&A session.
The lectures for the last two modules will be available in the first week of june
and again will be followed by an online Q&A session- Module 1: Introduction to Statistical Inference and Regression Models
- Module 2: Likelihoods and Bayesian inference
- Module 3: Introduction to Neural Networks
- Module 4: Resampling methods
Suggested readings and bibliography
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