Discussion Forum & Activities

List of discussions. Showing 100 of 513 discussions
Discussion	Started by	Last post	Replies
Machine Learning for fake news detection	Lorenzo Perinello 11 Jun 2023	Lorenzo Perinello 11 Jun 2023	0
DBSCAN: a density-based unsupervised clustering algorithm	LORENZO D'ANTONI 3 Jan 2023	LORENZO D'ANTONI 3 Jan 2023	0
k-means with kernels	LORENZO D'ANTONI 16 Dec 2022	LORENZO D'ANTONI 16 Dec 2022	0
Lecture 16: Naive Bayes on textual documents + comparison with other classifiers	LORENZO D'ANTONI 10 Dec 2022	LORENZO D'ANTONI 10 Dec 2022	0
Lecture 14: PCA on the IRIS dataset	LORENZO D'ANTONI 4 Dec 2022	LORENZO D'ANTONI 4 Dec 2022	0
Lecture 12: preprocess Titanic dataset	LORENZO D'ANTONI 24 Nov 2022	LORENZO D'ANTONI 24 Nov 2022	0
Perceptron as dot products: kernelized perceptron	LORENZO D'ANTONI 20 Nov 2022	LORENZO D'ANTONI 20 Nov 2022	0
Lecture 8: Implement the Delta rule optimization	LORENZO D'ANTONI 10 Nov 2022	LORENZO D'ANTONI 10 Nov 2022	0
Lecture 8: Derivative of the Sigmoid function	LORENZO D'ANTONI 10 Nov 2022	LORENZO D'ANTONI 10 Nov 2022	0
Perceptron algorithm: implementation	LORENZO D'ANTONI 29 Oct 2022	LORENZO D'ANTONI 29 Oct 2022	0
Perceptron-based multi-layer networks for boolean functions	LORENZO D'ANTONI 27 Oct 2022	LORENZO D'ANTONI 27 Oct 2022	0
DT for boolean formulas (ID3) + VC dimension	LORENZO D'ANTONI 23 Oct 2022	LORENZO D'ANTONI 23 Oct 2022	0
Ridge Regression: implementation, theory and derivation of the formula	LORENZO D'ANTONI 17 Oct 2022	LORENZO D'ANTONI 17 Oct 2022	0
Machine Learning Project: Implementation of adversarial machine learning using the FGSM attack on...	KOUROSH MARJOUEI 3 Jun 2023	KOUROSH MARJOUEI 19 Jun 2023	1
Comments on Hoeffding inequality	JUAN BAEZA RUIZ-HENESTROSA 11 Jan 2023	JUAN BAEZA RUIZ-HENESTROSA 11 Jan 2023	0
Analysis of movieLens dataset	JUAN BAEZA RUIZ-HENESTROSA 9 Jan 2023	JUAN BAEZA RUIZ-HENESTROSA 9 Jan 2023	0
Customer segmentation model using k-means and hieralchical clustering	JUAN BAEZA RUIZ-HENESTROSA 8 Jan 2023	JUAN BAEZA RUIZ-HENESTROSA 8 Jan 2023	0
Testing the Naive Bayes Classifier on 20newsgroups	JUAN BAEZA RUIZ-HENESTROSA 31 Dec 2022	JUAN BAEZA RUIZ-HENESTROSA 31 Dec 2022	0
Testing ensemble methods on the Predict Diabetes dataset	JUAN BAEZA RUIZ-HENESTROSA 31 Dec 2022	JUAN BAEZA RUIZ-HENESTROSA 31 Dec 2022	0
Deduction of the formula Bias, Variance and Square Error	JUAN BAEZA RUIZ-HENESTROSA 28 Nov 2022	JUAN BAEZA RUIZ-HENESTROSA 28 Nov 2022	0
PCA on IRIS dataset	JUAN BAEZA RUIZ-HENESTROSA 27 Nov 2022	JUAN BAEZA RUIZ-HENESTROSA 27 Nov 2022	0
Effect of preprocessing data in classification accuracy	JUAN BAEZA RUIZ-HENESTROSA 27 Nov 2022	JUAN BAEZA RUIZ-HENESTROSA 27 Nov 2022	0
Exercise lecture 12 - Encoding range-type variables	JUAN BAEZA RUIZ-HENESTROSA 21 Nov 2022	JUAN BAEZA RUIZ-HENESTROSA 21 Nov 2022	0
Why we shouldn't initialize the weights as zero	JUAN BAEZA RUIZ-HENESTROSA 25 Oct 2022	JUAN BAEZA RUIZ-HENESTROSA 25 Oct 2022	0
Implementation of function XOR using Peceptron-based networks	JUAN BAEZA RUIZ-HENESTROSA 24 Oct 2022	JUAN BAEZA RUIZ-HENESTROSA 24 Oct 2022	0
Recommendation system with Netflix dataset	JANARDHAN JAYACHANDRA KAMMATH 4 Jan 2023	JANARDHAN JAYACHANDRA KAMMATH 4 Jan 2023	0
Activity lecture 5	JANARDHAN JAYACHANDRA KAMMATH 29 Oct 2022	JANARDHAN JAYACHANDRA KAMMATH 29 Oct 2022	0
Lecture 4 exercise activity	JANARDHAN JAYACHANDRA KAMMATH 16 Oct 2022	JANARDHAN JAYACHANDRA KAMMATH 16 Oct 2022	0
PCA applied to IRIS dataset	JACOB ALEXANDER K GERNAY 31 Dec 2022	JACOB ALEXANDER K GERNAY 31 Dec 2022	0
Decision Tree Example (sklearn)	JACOB ALEXANDER K GERNAY 24 Oct 2022	JACOB ALEXANDER K GERNAY 24 Oct 2022	0
Ridge Regression in python	JACOB ALEXANDER K GERNAY 12 Oct 2022	JACOB ALEXANDER K GERNAY 12 Oct 2022	0
Lecture 17 exercise 1 & 2	HOU CHENG LAM 8 Jan 2023	HOU CHENG LAM 8 Jan 2023	0
Lecture 16 exercise 2	HOU CHENG LAM 8 Jan 2023	HOU CHENG LAM 8 Jan 2023	0
Lecture 16 exercise 1	HOU CHENG LAM 8 Jan 2023	HOU CHENG LAM 8 Jan 2023	0
Lecture 14 Exercise 3	HOU CHENG LAM 12 Dec 2022	HOU CHENG LAM 12 Dec 2022	0
Lecture 14 Exercise 2	HOU CHENG LAM 11 Dec 2022	HOU CHENG LAM 11 Dec 2022	0
Lecture 14 Exercise 1	HOU CHENG LAM 11 Dec 2022	HOU CHENG LAM 11 Dec 2022	0
Lecture 13 Exercise 2	HOU CHENG LAM 22 Nov 2022	HOU CHENG LAM 22 Nov 2022	0
Lecture 12 Exercise 3	HOU CHENG LAM 19 Nov 2022	HOU CHENG LAM 19 Nov 2022	0
Lecture 12 Exercise 2	HOU CHENG LAM 19 Nov 2022	HOU CHENG LAM 19 Nov 2022	0
Lecture 8 Exercise 1	HOU CHENG LAM 6 Nov 2022	HOU CHENG LAM 6 Nov 2022	0
Lec 07 Coefficient η	HOU CHENG LAM 5 Nov 2022	HOU CHENG LAM 5 Nov 2022	0
Lecture 06	HOU CHENG LAM 5 Nov 2022	HOU CHENG LAM 5 Nov 2022	0
Lecture 03 Ex 2	HOU CHENG LAM 5 Nov 2022	HOU CHENG LAM 7 Nov 2022	1
Lecture 4 - VC-Dimension of other hypothesis spaces, e.g. intervals in R	HOU CHENG LAM 5 Nov 2022	HOU CHENG LAM 5 Nov 2022	0
Lecture 12 range-type variables	HANNANE HABIBI 30 Nov 2022	HANNANE HABIBI 30 Nov 2022	0
Lesson 14_3	HANNANE HABIBI 29 Nov 2022	HANNANE HABIBI 29 Nov 2022	0
lesson 9- backprop	HANNANE HABIBI 29 Nov 2022	HANNANE HABIBI 29 Nov 2022	0
Lez14IRIS	HANNANE HABIBI 29 Nov 2022	HANNANE HABIBI 29 Nov 2022	0
Lecture 08_NN-Exercise	HANNANE HABIBI 30 Oct 2022	HANNANE HABIBI 30 Oct 2022	0
lecture 04, VC dimension	HANNANE HABIBI 30 Oct 2022	HANNANE HABIBI 30 Oct 2022	0
Lecture 07 Perceptron	HANNANE HABIBI 30 Oct 2022	HANNANE HABIBI 30 Oct 2022	0
Lecture 05 ID3	HANNANE HABIBI 30 Oct 2022	HANNANE HABIBI 30 Oct 2022	0
lecture 7, Exercise "not"	HANNANE HABIBI 24 Oct 2022	HANNANE HABIBI 24 Oct 2022	0
Non personalized recommender systems on MovieLens dataset	FILIPPO FANTINATO 29 Dec 2022	FILIPPO FANTINATO 29 Dec 2022	0
Analysis of sparsity and distribution of ratings on MovieLens dataset	FILIPPO FANTINATO 28 Dec 2022	FILIPPO FANTINATO 28 Dec 2022	0
K-means on worms dataset	FILIPPO FANTINATO 28 Dec 2022	FILIPPO FANTINATO 28 Dec 2022	0
KNN on MovieLens dataset	FILIPPO FANTINATO 28 Dec 2022	FILIPPO FANTINATO 28 Dec 2022	0
Ensemble classifiers	FILIPPO FANTINATO 28 Dec 2022	FILIPPO FANTINATO 28 Dec 2022	0
Naive Bayesian classifiers	FILIPPO FANTINATO 28 Dec 2022	FILIPPO FANTINATO 28 Dec 2022	0
CNN on CIFAR dataset	FILIPPO FANTINATO 1 Dec 2022	FILIPPO FANTINATO 1 Dec 2022	0
Bias and Variance evaluation in a controlled regression task	FILIPPO FANTINATO 30 Nov 2022	FILIPPO FANTINATO 30 Nov 2022	0
Autoencoders on the MNIST dataset	FILIPPO FANTINATO 30 Nov 2022	FILIPPO FANTINATO 30 Nov 2022	0
PCA on IRIS dataset	FILIPPO FANTINATO 30 Nov 2022	FILIPPO FANTINATO 30 Nov 2022	0
Sklearn Feature Selection methods	FILIPPO FANTINATO 30 Nov 2022	FILIPPO FANTINATO 30 Nov 2022	0
Preprocessing of Titanic dataset	FILIPPO FANTINATO 30 Nov 2022	FILIPPO FANTINATO 30 Nov 2022	0
Derivation of backpropagation for multiple hidden layers	FILIPPO FANTINATO 11 Nov 2022	FILIPPO FANTINATO 11 Nov 2022	0
L9Ex2 - Hidden Layer Representation	FILIPPO FANTINATO 4 Nov 2022	FILIPPO FANTINATO 4 Nov 2022	0
Perceptron Delta rule implementation	FILIPPO FANTINATO 29 Oct 2022	FILIPPO FANTINATO 29 Oct 2022	0
Perceptron learning algorithm implementation	FILIPPO FANTINATO 28 Oct 2022	FILIPPO FANTINATO 28 Oct 2022	0
Sigmoid derivative	FILIPPO FANTINATO 26 Oct 2022	FILIPPO FANTINATO 26 Oct 2022	0
Perceptron for basic formulas	FILIPPO FANTINATO 25 Oct 2022	FILIPPO FANTINATO 25 Oct 2022	0
VC Dimension of R	FILIPPO FANTINATO 24 Oct 2022	FILIPPO FANTINATO 24 Oct 2022	0
DT ID3 for AND, OR, XOR	FILIPPO FANTINATO 24 Oct 2022	FILIPPO FANTINATO 24 Oct 2022	0
Ridge Regression	FILIPPO FANTINATO 24 Oct 2022	FILIPPO FANTINATO 24 Oct 2022	0
Hypothesis spaces	FILIPPO FANTINATO 24 Oct 2022	FILIPPO FANTINATO 24 Oct 2022	0
Lecture 19: Exercise 1	DENNIS RODERMUND 6 Jan 2023	DENNIS RODERMUND 6 Jan 2023	0
Lecture 17: Exercises	DENNIS RODERMUND 6 Jan 2023	DENNIS RODERMUND 6 Jan 2023	0
Lecture 16: Naive Bias	DENNIS RODERMUND 6 Jan 2023	DENNIS RODERMUND 6 Jan 2023	0
Lecture 14 Activities	DENNIS RODERMUND 4 Dec 2022	DENNIS RODERMUND 4 Dec 2022	0
Lecture 10/11 Activities	DENNIS RODERMUND 3 Dec 2022	DENNIS RODERMUND 3 Dec 2022	0
Lecture 9 Backpropagation for multiple hidden layers	DENNIS RODERMUND 3 Dec 2022	DENNIS RODERMUND 3 Dec 2022	0
Lecture 12 Ranged Type Variables Representation	DENNIS RODERMUND 3 Dec 2022	DENNIS RODERMUND 3 Dec 2022	0
Lecture 13 Bias and Variance	DENNIS RODERMUND 28 Nov 2022	DENNIS RODERMUND 28 Nov 2022	0
Lecture 12 Titanic	DENNIS RODERMUND 23 Nov 2022	DENNIS RODERMUND 23 Nov 2022	0
Lecture 9: NN with one hidden layer	DENNIS RODERMUND 8 Nov 2022	DENNIS RODERMUND 8 Nov 2022	0
Lecture 8: Delta Rule optimization	DENNIS RODERMUND 8 Nov 2022	DENNIS RODERMUND 8 Nov 2022	0
Lecture 7 Perceptron Algorithm	DENNIS RODERMUND 8 Nov 2022	DENNIS RODERMUND 8 Nov 2022	0
Lecture 7 Exercise 2: Perceptron learning algorithm	DENNIS RODERMUND 28 Oct 2022	DENNIS RODERMUND 28 Oct 2022	0
Lecture 7 Exercise 1: Boolean Functions with perceptrons	DENNIS RODERMUND 28 Oct 2022	DENNIS RODERMUND 28 Oct 2022	0
Lecture 8: Sigmoid Derivation	DENNIS RODERMUND 27 Oct 2022	DENNIS RODERMUND 27 Oct 2022	0
Lecture 5 Exercise	DENNIS RODERMUND 22 Oct 2022	DENNIS RODERMUND 22 Oct 2022	0
Lecture 4 Activity: VC Dimension	DENNIS RODERMUND 19 Oct 2022	DENNIS RODERMUND 19 Oct 2022	0
Lec3 Activity: Ridge Regression	DENNIS RODERMUND 16 Oct 2022	DENNIS RODERMUND 16 Oct 2022	0
LECT10_11 - SVM Linear vs Polynomial kernel	DAVIDE VEZZARO 6 Jan 2023	DAVIDE VEZZARO 6 Jan 2023	0
LECT14 - PCA from scratch	DAVIDE VEZZARO 6 Jan 2023	DAVIDE VEZZARO 6 Jan 2023	0
December lectures activities	DAVIDE ZANARINI 29 Dec 2022	DAVIDE ZANARINI 29 Dec 2022	0
Lecture 17 Ensemble Classifier	DAVIDE ALBIERO 29 Dec 2022	DAVIDE ALBIERO 29 Dec 2022	0
Lecture 19 MovieLens	DAVIDE ALBIERO 29 Dec 2022	DAVIDE ALBIERO 29 Dec 2022	0
Lecture 20 RecSys libraries	DAVIDE ALBIERO 29 Dec 2022	DAVIDE ALBIERO 29 Dec 2022	0

Machine Learning for fake news detection

Lorenzo Perinello

11 Jun 2023

Lorenzo Perinello

11 Jun 2023

0

DBSCAN: a density-based unsupervised clustering algorithm

LORENZO D'ANTONI

3 Jan 2023

LORENZO D'ANTONI

3 Jan 2023

0

k-means with kernels

LORENZO D'ANTONI

16 Dec 2022

LORENZO D'ANTONI

16 Dec 2022

0

Lecture 16: Naive Bayes on textual documents + comparison with other classifiers

LORENZO D'ANTONI

10 Dec 2022

LORENZO D'ANTONI

10 Dec 2022

0

Lecture 14: PCA on the IRIS dataset

LORENZO D'ANTONI

4 Dec 2022

LORENZO D'ANTONI

4 Dec 2022

0

Lecture 12: preprocess Titanic dataset

LORENZO D'ANTONI

24 Nov 2022

LORENZO D'ANTONI

24 Nov 2022

0

Perceptron as dot products: kernelized perceptron

LORENZO D'ANTONI

20 Nov 2022

LORENZO D'ANTONI

20 Nov 2022

0

Lecture 8: Implement the Delta rule optimization

LORENZO D'ANTONI

10 Nov 2022

LORENZO D'ANTONI

10 Nov 2022

0

Lecture 8: Derivative of the Sigmoid function

LORENZO D'ANTONI

10 Nov 2022

LORENZO D'ANTONI

10 Nov 2022

0

Perceptron algorithm: implementation

LORENZO D'ANTONI

29 Oct 2022

LORENZO D'ANTONI

29 Oct 2022

0

Perceptron-based multi-layer networks for boolean functions

LORENZO D'ANTONI

27 Oct 2022

LORENZO D'ANTONI

27 Oct 2022

0

DT for boolean formulas (ID3) + VC dimension

LORENZO D'ANTONI

23 Oct 2022

LORENZO D'ANTONI

23 Oct 2022

0

Ridge Regression: implementation, theory and derivation of the formula

LORENZO D'ANTONI

17 Oct 2022

LORENZO D'ANTONI

17 Oct 2022

0

Machine Learning Project: Implementation of adversarial machine learning using the FGSM attack on...

KOUROSH MARJOUEI

3 Jun 2023

KOUROSH MARJOUEI

19 Jun 2023

1

Comments on Hoeffding inequality

JUAN BAEZA RUIZ-HENESTROSA

11 Jan 2023

JUAN BAEZA RUIZ-HENESTROSA

11 Jan 2023

0

Analysis of movieLens dataset

JUAN BAEZA RUIZ-HENESTROSA

9 Jan 2023

JUAN BAEZA RUIZ-HENESTROSA

9 Jan 2023

0

Customer segmentation model using k-means and hieralchical clustering

JUAN BAEZA RUIZ-HENESTROSA

8 Jan 2023

JUAN BAEZA RUIZ-HENESTROSA

8 Jan 2023

0

Testing the Naive Bayes Classifier on 20newsgroups

JUAN BAEZA RUIZ-HENESTROSA

31 Dec 2022

JUAN BAEZA RUIZ-HENESTROSA

31 Dec 2022

0

Testing ensemble methods on the Predict Diabetes dataset

JUAN BAEZA RUIZ-HENESTROSA

31 Dec 2022

JUAN BAEZA RUIZ-HENESTROSA

31 Dec 2022

0

Deduction of the formula Bias, Variance and Square Error

JUAN BAEZA RUIZ-HENESTROSA

28 Nov 2022

JUAN BAEZA RUIZ-HENESTROSA

28 Nov 2022

0

PCA on IRIS dataset

JUAN BAEZA RUIZ-HENESTROSA

27 Nov 2022

JUAN BAEZA RUIZ-HENESTROSA

27 Nov 2022

0

Effect of preprocessing data in classification accuracy

JUAN BAEZA RUIZ-HENESTROSA

27 Nov 2022

JUAN BAEZA RUIZ-HENESTROSA

27 Nov 2022

0

Exercise lecture 12 - Encoding range-type variables

JUAN BAEZA RUIZ-HENESTROSA

21 Nov 2022

JUAN BAEZA RUIZ-HENESTROSA

21 Nov 2022

0

Why we shouldn't initialize the weights as zero

JUAN BAEZA RUIZ-HENESTROSA

25 Oct 2022

JUAN BAEZA RUIZ-HENESTROSA

25 Oct 2022

0

Implementation of function XOR using Peceptron-based networks

JUAN BAEZA RUIZ-HENESTROSA

24 Oct 2022

JUAN BAEZA RUIZ-HENESTROSA

24 Oct 2022

0

Recommendation system with Netflix dataset

JANARDHAN JAYACHANDRA KAMMATH

4 Jan 2023

JANARDHAN JAYACHANDRA KAMMATH

4 Jan 2023

0

Activity lecture 5

JANARDHAN JAYACHANDRA KAMMATH

29 Oct 2022

JANARDHAN JAYACHANDRA KAMMATH

29 Oct 2022

0

Lecture 4 exercise activity

JANARDHAN JAYACHANDRA KAMMATH

16 Oct 2022

JANARDHAN JAYACHANDRA KAMMATH

16 Oct 2022

0

PCA applied to IRIS dataset

JACOB ALEXANDER K GERNAY

31 Dec 2022

JACOB ALEXANDER K GERNAY

31 Dec 2022

0

Decision Tree Example (sklearn)

JACOB ALEXANDER K GERNAY

24 Oct 2022

JACOB ALEXANDER K GERNAY

24 Oct 2022

0

Ridge Regression in python

JACOB ALEXANDER K GERNAY

12 Oct 2022

JACOB ALEXANDER K GERNAY

12 Oct 2022

0

Lecture 17 exercise 1 & 2

HOU CHENG LAM

8 Jan 2023

HOU CHENG LAM

8 Jan 2023

0

Lecture 16 exercise 2

HOU CHENG LAM

8 Jan 2023

HOU CHENG LAM

8 Jan 2023

0

Lecture 16 exercise 1

HOU CHENG LAM

8 Jan 2023

HOU CHENG LAM

8 Jan 2023

0

Lecture 14 Exercise 3

HOU CHENG LAM

12 Dec 2022

HOU CHENG LAM

12 Dec 2022

0

Lecture 14 Exercise 2

HOU CHENG LAM

11 Dec 2022

HOU CHENG LAM

11 Dec 2022

0

Lecture 14 Exercise 1

HOU CHENG LAM

11 Dec 2022

HOU CHENG LAM

11 Dec 2022

0

Lecture 13 Exercise 2

HOU CHENG LAM

22 Nov 2022

HOU CHENG LAM

22 Nov 2022

0

Lecture 12 Exercise 3

HOU CHENG LAM

19 Nov 2022

HOU CHENG LAM

19 Nov 2022

0

Lecture 12 Exercise 2

HOU CHENG LAM

19 Nov 2022

HOU CHENG LAM

19 Nov 2022

0

Lecture 8 Exercise 1

HOU CHENG LAM

6 Nov 2022

HOU CHENG LAM

6 Nov 2022

0

Lec 07 Coefficient η

HOU CHENG LAM

5 Nov 2022

HOU CHENG LAM

5 Nov 2022

0

Lecture 06

HOU CHENG LAM

5 Nov 2022

HOU CHENG LAM

5 Nov 2022

0

Lecture 03 Ex 2

HOU CHENG LAM

5 Nov 2022

HOU CHENG LAM

7 Nov 2022

1

Lecture 4 - VC-Dimension of other hypothesis spaces, e.g. intervals in R

HOU CHENG LAM

5 Nov 2022

HOU CHENG LAM

5 Nov 2022

0

Lecture 12 range-type variables

HANNANE HABIBI

30 Nov 2022

HANNANE HABIBI

30 Nov 2022

0

Lesson 14_3

HANNANE HABIBI

29 Nov 2022

HANNANE HABIBI

29 Nov 2022

0

lesson 9- backprop

HANNANE HABIBI

29 Nov 2022

HANNANE HABIBI

29 Nov 2022

0

Lez14IRIS

HANNANE HABIBI

29 Nov 2022

HANNANE HABIBI

29 Nov 2022

0

Lecture 08_NN-Exercise

HANNANE HABIBI

30 Oct 2022

HANNANE HABIBI

30 Oct 2022

0

lecture 04, VC dimension

HANNANE HABIBI

30 Oct 2022

HANNANE HABIBI

30 Oct 2022

0

Lecture 07 Perceptron

HANNANE HABIBI

30 Oct 2022

HANNANE HABIBI

30 Oct 2022

0

Lecture 05 ID3

HANNANE HABIBI

30 Oct 2022

HANNANE HABIBI

30 Oct 2022

0

lecture 7, Exercise "not"

HANNANE HABIBI

24 Oct 2022

HANNANE HABIBI

24 Oct 2022

0

Non personalized recommender systems on MovieLens dataset

FILIPPO FANTINATO

29 Dec 2022

FILIPPO FANTINATO

29 Dec 2022

0

Analysis of sparsity and distribution of ratings on MovieLens dataset

FILIPPO FANTINATO

28 Dec 2022

FILIPPO FANTINATO

28 Dec 2022

0

K-means on worms dataset

FILIPPO FANTINATO

28 Dec 2022

FILIPPO FANTINATO

28 Dec 2022

0

KNN on MovieLens dataset

FILIPPO FANTINATO

28 Dec 2022

FILIPPO FANTINATO

28 Dec 2022

0

Ensemble classifiers

FILIPPO FANTINATO

28 Dec 2022

FILIPPO FANTINATO

28 Dec 2022

0

Naive Bayesian classifiers

FILIPPO FANTINATO

28 Dec 2022

FILIPPO FANTINATO

28 Dec 2022

0

CNN on CIFAR dataset

FILIPPO FANTINATO

1 Dec 2022

FILIPPO FANTINATO

1 Dec 2022

0

Bias and Variance evaluation in a controlled regression task

FILIPPO FANTINATO

30 Nov 2022

FILIPPO FANTINATO

30 Nov 2022

0

Autoencoders on the MNIST dataset

FILIPPO FANTINATO

30 Nov 2022

FILIPPO FANTINATO

30 Nov 2022

0

PCA on IRIS dataset

FILIPPO FANTINATO

30 Nov 2022

FILIPPO FANTINATO

30 Nov 2022

0

Sklearn Feature Selection methods

FILIPPO FANTINATO

30 Nov 2022

FILIPPO FANTINATO

30 Nov 2022

0

Preprocessing of Titanic dataset

FILIPPO FANTINATO

30 Nov 2022

FILIPPO FANTINATO

30 Nov 2022

0

Derivation of backpropagation for multiple hidden layers

FILIPPO FANTINATO

11 Nov 2022

FILIPPO FANTINATO

11 Nov 2022

0

L9Ex2 - Hidden Layer Representation

FILIPPO FANTINATO

4 Nov 2022

FILIPPO FANTINATO

4 Nov 2022

0

Perceptron Delta rule implementation

FILIPPO FANTINATO

29 Oct 2022

FILIPPO FANTINATO

29 Oct 2022

0

Perceptron learning algorithm implementation

FILIPPO FANTINATO

28 Oct 2022

FILIPPO FANTINATO

28 Oct 2022

0

Sigmoid derivative

FILIPPO FANTINATO

26 Oct 2022

FILIPPO FANTINATO

26 Oct 2022

0

Perceptron for basic formulas

FILIPPO FANTINATO

25 Oct 2022

FILIPPO FANTINATO

25 Oct 2022

0

VC Dimension of R

FILIPPO FANTINATO

24 Oct 2022

FILIPPO FANTINATO

24 Oct 2022

0

DT ID3 for AND, OR, XOR

FILIPPO FANTINATO

24 Oct 2022

FILIPPO FANTINATO

24 Oct 2022

0

Ridge Regression

FILIPPO FANTINATO

24 Oct 2022

FILIPPO FANTINATO

24 Oct 2022

0

Hypothesis spaces

FILIPPO FANTINATO

24 Oct 2022

FILIPPO FANTINATO

24 Oct 2022

0

Lecture 19: Exercise 1

DENNIS RODERMUND

6 Jan 2023

DENNIS RODERMUND

6 Jan 2023

0

Lecture 17: Exercises

DENNIS RODERMUND

6 Jan 2023

DENNIS RODERMUND

6 Jan 2023

0

Lecture 16: Naive Bias

DENNIS RODERMUND

6 Jan 2023

DENNIS RODERMUND

6 Jan 2023

0

Lecture 14 Activities

DENNIS RODERMUND

4 Dec 2022

DENNIS RODERMUND

4 Dec 2022

0

Lecture 10/11 Activities

DENNIS RODERMUND

3 Dec 2022

DENNIS RODERMUND

3 Dec 2022

0

Lecture 9 Backpropagation for multiple hidden layers

DENNIS RODERMUND

3 Dec 2022

DENNIS RODERMUND

3 Dec 2022

0

Lecture 12 Ranged Type Variables Representation

DENNIS RODERMUND

3 Dec 2022

DENNIS RODERMUND

3 Dec 2022

0

Lecture 13 Bias and Variance

DENNIS RODERMUND

28 Nov 2022

DENNIS RODERMUND

28 Nov 2022

0

Lecture 12 Titanic

DENNIS RODERMUND

23 Nov 2022

DENNIS RODERMUND

23 Nov 2022

0

Lecture 9: NN with one hidden layer

DENNIS RODERMUND

8 Nov 2022

DENNIS RODERMUND

8 Nov 2022

0

Lecture 8: Delta Rule optimization

DENNIS RODERMUND

8 Nov 2022

DENNIS RODERMUND

8 Nov 2022

0

Lecture 7 Perceptron Algorithm

DENNIS RODERMUND

8 Nov 2022

DENNIS RODERMUND

8 Nov 2022

0

Lecture 7 Exercise 2: Perceptron learning algorithm

DENNIS RODERMUND

28 Oct 2022

DENNIS RODERMUND

28 Oct 2022

0

Lecture 7 Exercise 1: Boolean Functions with perceptrons

DENNIS RODERMUND

28 Oct 2022

DENNIS RODERMUND

28 Oct 2022

0

Lecture 8: Sigmoid Derivation

DENNIS RODERMUND

27 Oct 2022

DENNIS RODERMUND

27 Oct 2022

0

Lecture 5 Exercise

DENNIS RODERMUND

22 Oct 2022

DENNIS RODERMUND

22 Oct 2022

0

Lecture 4 Activity: VC Dimension

DENNIS RODERMUND

19 Oct 2022

DENNIS RODERMUND

19 Oct 2022

0

Lec3 Activity: Ridge Regression

DENNIS RODERMUND

16 Oct 2022

DENNIS RODERMUND

16 Oct 2022

0

LECT10_11 - SVM Linear vs Polynomial kernel

DAVIDE VEZZARO

6 Jan 2023

DAVIDE VEZZARO

6 Jan 2023

0

LECT14 - PCA from scratch

DAVIDE VEZZARO

6 Jan 2023

DAVIDE VEZZARO

6 Jan 2023

0

December lectures activities

DAVIDE ZANARINI

29 Dec 2022

DAVIDE ZANARINI

29 Dec 2022

0

Lecture 17 Ensemble Classifier

DAVIDE ALBIERO

29 Dec 2022

DAVIDE ALBIERO

29 Dec 2022

0

Lecture 19 MovieLens

DAVIDE ALBIERO

29 Dec 2022

DAVIDE ALBIERO

29 Dec 2022

0

Lecture 20 RecSys libraries

DAVIDE ALBIERO

29 Dec 2022

DAVIDE ALBIERO

29 Dec 2022

0