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All courses Fisica Ingegneria e Architettura Matematica e Geoscienze Scienze Chimiche e Farmaceutiche Scienze Economiche, Aziendali, Matematiche e Statistiche Scienze della Vita Scienze Giuridiche, del Linguaggio, dell`Interpretazione e della Traduzione Scienze Politiche e Sociali Studi Umanistici Universitario Clinico di Scienze mediche, chirurgiche e della salute E-learning@Units Centro Linguistico di Ateneo Sistema Bibliotecario di Ateneo Amministrazione Centrale Progetto FlashForward Corsi in convenzione PhD - Formazione trasversale La ricerca all'Università di Trieste CIRD - Centro Interdipartimentale per la Ricerca Didattica Teledidattica Moodle Guides Servizi Disabili e DSA Centro per la gestione del percorso universitario e accademico iniziale dei docenti delle scuole secondarie di primo e secondo grado
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Expand Collapse Statistical Machine Learning Highlighted
  • Annunci
  • News
  • Discussion Forum
  • Questions on theory and exercises
Expand Collapse Textbooks Highlighted
  • Bishop - Pattern Recognition and Machine Learning
  • Barber - Bayesian reasoning and Machine Learning
  • Rasmussen Williams - Gaussian Processes for Machine Learning
  • K. P. Murphy - Machine learning: a probabilistic perspective
Expand Collapse Links and papers Highlighted
  • UCI Machine Learning Repo
  • Kaggle datasets
Expand Collapse Datasets for Regression Highlighted
  • Synthetic Regression Data
  • Geographical localisation of music
  • Wine Quality
  • Energy efficiency of buildings
  • Combined Cycle Power Plant
  • Yacht Hydrodynamics
  • Concrete Compressive Strength
  • Household Power Consumption
  • Year of release of songs
  • Naval Propulsion Maintenance
  • Istanbul Stock Exchange
Expand Collapse Datasets for Classification Highlighted
  • Synthetic Classification Data
  • Default of credit cards
  • Online news popularity
  • Wine Quality
  • Geographical localisation of music
  • Istanbul Stock Exchange
  • Banknote authentication
  • Predicting Census
  • Malicious Software
  • MNIST dataset
  • Not-MNIST datasets (alphabet letters)
  • SVHN (Street View house number)
Expand Collapse Introduction Highlighted
  • Video - Introduction
  • Slides - Introduction
Expand Collapse Introduction to Probability Highlighted
  • Link to recorded lectures
  • Notes: introduction to probabilities
  • Blackboard: introduction to probabilities
  • Exercises: introduction to probabilities
  • Exercise notebook: introduction to probability
  • Exercise sheet on probabilities
  • Exercises on probability: submission
  • Blackboard: question-time session
  • Homework 01 solutions
Expand Collapse Probabilistic Graphical Models Highlighted
  • Recorded Lectures: Probabilistic Graphical Models
  • Recorded Lectures: Inference in PGM
  • Blackboard: Bayesian Networks
  • Blackboard: Markov Random Fields
  • Blackboard: Inference in PGM
  • Slides: PGM
  • Video: notebook on probabilistic programming
  • Notebook: probabilistic programming
  • Homework: probabilistic programming
  • Probabilistic Programming repository
  • Exercise sheet 2. Submission by April 1st 10:30 am
  • Homework 02 solutions
  • Video: notebook on PGM
  • Notebook: PGM
  • Exercise sheet: PGM
  • Exercise sheet 3: PGM. Submission by April 14.
  • Homework 03 solutions
Expand Collapse Markov Chain Monte Carlo Highlighted
  • Recorded Lectures: MCMC
  • Blackboard: MCMC
  • Slides: MCMC
  • Book: Gelman et al. - Bayesian Data Analysis, third edition
  • Reading: Hamiltonian MC and no-U-turn sampling
  • Lab Video: mcmc
  • Python notebook: mcmc
  • Exercise sheet: mcmc
  • Exercise sheet mcmc: submission by 21/04
  • Homework 04 solutions
Expand Collapse Hidden Markov Models Highlighted
  • Recorded Lectures
  • Blackboard: HMM
  • Dow Jones Dataset
  • ECG dataset
Expand Collapse Bayesian regression and classification Highlighted
  • Recorded Lectures: Bayesian linear regression
  • Blackboard: Gaussian Distributions
  • Blackboard: Bayesian Linear Regression
  • Notes: linear regression
  • Slides: bayesian linear regression
  • Recorded lectures: bayesian linear classification
  • Notes: Bayesian Linear Classification
  • Blackboard: Bayesian Linear Classification
  • Large scale kernel approximation: slides + references
  • Large scale kernel approximation: github
Expand Collapse Lab - Data Science in Python: Pandas, Data Visualization, Scikit-learn Highlighted
  • Notebooks and data
  • Pandas home page
  • Matplotlib Home Page
  • Seaborn Home Page
  • Scikit-Learn Home Page
Expand Collapse Gaussian Processes Highlighted
  • Recorded Lectures: GP
  • Blackboard: GP
  • Notes: Gaussian Processes
  • Slides: CO2 example
  • Python Notebook: GP
  • Exercise sheet: GP
  • Exercise sheet: GP. Submission by May 10, 11:00
Expand Collapse Variational Inference Highlighted
  • Video: Latent variables and EM
  • Slides: Latent variables and EM
  • Video: Variational Inference basics
  • Slides: classical variational inference
  • Video: variational inference advanced topics
  • Slides: advanced topics in variational inference
  • Reading: An introduction to variational methods for graphical models
  • Reading: Black Box Variational Inference
  • Lab
  • Video: Variational Inference Lab
  • Notebooks: Variational Inference
  • Exercise sheet
  • Exercise sheet VI: submission by May 22
  • Homework 06 solutions
Expand Collapse Deep Learning Highlighted
  • Recorded Lectures: deep learning
  • Blackboard: Deep Learning
  • Slides: Introduction to Deep Learning
  • Slides: SGD and regularization
  • Slides: Convolutional and Recurrent Nets
  • Slides: Autoencoders and generative models
  • Material: Deep Learning Book, by Bengio&co
  • Deep Learning Lab
  • PyTorch Lab: presentation
  • Notebooks: github repo
Expand Collapse Exercise classes Highlighted
  • git repository
Expand Collapse Final Exam Highlighted
  • When you plan to take the exam?
  • Preferenze Gruppi
  • Groups
  1. Dipartimento di Studi Umanistici
  2. Laurea triennale (DM270)
  3. LE04 - LINGUE E LETTERATURE STRANIERE
  4. A.A. 2016 - 2017
  5. Forums
  6. Advanced search

136LE - LETTERATURA FRANCESE III 2016

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