- Oggetto:
Statistical Inference and Machine Learning
- Oggetto:
Academic year 2019/2020
- Teachers
- Michele Caselle
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
- Oggetto:
Sommario del corso
- Oggetto:
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
- Oggetto:
Support activities
On the Moodle UniTo platform:
Suggested readings and bibliography
- Oggetto: