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Oggetto:

Statistical Inference and Machine Learning

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Academic year 2019/2020

Teachers
Prof. Michele Caselle
Dott.ssa Tiziana Sanavia
Year
1st year
Teaching period
NA
Type
NA
Credits/Recognition
1
Course disciplinary sector (SSD)
FIS/02 - theoretical physics, mathematical models and methods
Delivery
na
Language
English
Attendance
NA
Type of learning unit
modulo
Modular course
Zeroing courses
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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
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Support activities

On the Moodle UniTo platform:

https://elearning.unito.it/dottorato/enrol/index.php?id=17

Suggested readings and bibliography



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