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Social Media Management Prof. Giovanni Maria Farinella Corso di Laurea in Informatica Dipartimento di Matematica e Informatica Università degli Studi di Catania A.A. 2018-2019 |
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Aula: 22 Ora: 15-17 Giorno: Lunedì e Mercoledì Ricevimento: Martedì dalle 15:00 alle 16:00 previo appuntamento da concordare via email |
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Lecture |
Date |
Type |
Syllabus |
Material |
1 |
1/10/2018 |
Lezione 0 |
Introduzione al Corso |
Slides |
2 |
22/10/2018 |
Lezione 1 |
Supervised Learning, Classification, Regression, |
Slides and Notes |
3 |
24/10/2018 |
Industrial 1 - La Sicilia |
Media vs Technology. Facce differenti della stessa medaglia, l'Informazione |
Slides |
4 |
29/10/2018 |
Lezione 2 |
Sistemi di raccomandazione, Unsupervised Learning, KNN-Classification by Retrieval, Probability Theory, Teorema di Bayes, MAP Classifier |
Slides |
5 |
31/10/2018 |
Lezione 3 |
Social Media Platforms, APIs,Visual Analytics |
Slides |
6 |
05/11/2018 |
Laboratorio 1 |
Introduzione a Python, Risorse in Rete,Python Practicals: Gestire Dataset di Immagini |
Notes |
7 |
07/11/2018 |
Lezione 4 |
Clustering, Bag of Words Model, BoW with k-Nearest Neighbour and Naive Bayes
|
|
8 |
12/11/2018 |
Lezione 5 |
Classification Evaluation, Univariate Linear Regression, Gradient descent algorithm, Multivariate Linear Regression, Gradient Descent for Multivariate Linear Regression, Polinomial Regression, |
Notes |
9 |
14/11/2018 |
Seminario 1 |
L'occhio della Macchina |
|
10 |
19/11/2018 |
Laboratorio 2 |
Python Praticals: BoW Model - Representation |
|
11 |
21/11/2018 |
Lezione 6 |
Learning Rate and Debugging, Feature Scaling and Normalization, Overfitting, Regularization, Hypothesis Evaluation, Model Selection, REC Curve |
Slides |
12 |
26/11/2018 |
Laboratorio 3 |
Python Praticals: BoW - Content Based Image Retrieval with k-Nearest Neighbour classifier, Classification Evaluation |
(solution) |
13 |
28/11/2018 |
Lezione 7 |
Logistic Regression: Binary Classification, Decision boundary, Nonlinear decision boundaries, Cost function for logistic regression, Gradient Descent, Multiclass Classification Problems, Overfitting and Regularization |
Slides |
14 |
10/12/2018 |
Seminario 2 |
Computational Social Science e Sociologia dei Dati |
Slides |
15 |
12/12/2018 |
Industrial 2 - WCAP |
Meeting Startup |
|
16 |
17/12/2018 |
Industrial 3 - GOOGLE |
Towards Photorealistic Volumetric Capture of Humans - Sean Ryan Fanello, Google |
Slides |
17 |
19/12/2018 |
Industrial 4 - imetrixBi |
Legal Aspects of Data |
Slides |
18 |
07/01/2018 |
Laboratorio 4 |
Python Praticals: Linear Regression, Memorability, Popularity, Regression Evaluation |
|
19 |
09/01/2018 |
Laboratorio 5 |
Python Praticals: Logistic Regression, Multiclass classification, Naive Bayes |
Notes |
20 |
14/01/2018 |
Industrial 5 - TIM |
Visita al Research Lab, The Social Picture
|
|
21 |
16/01/2018 |
Industrial 6 - TIM |
Data Visualization |
Slides |
22 |
21/01/2018 |
Industrial Day 7
- Spidwit |
Strumenti per l'Analisi dei Social Media
|
Slides |
23 |
25/01/2018 |
Lezione 9 |
Sentiment Analysis, NLP Introduction, Word2Vec, Doc2Vec, Sistemi di Raccomandazione
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Slides |
