Discussion Forum & Activities

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Discussione	Iniziato da	Ultimo intervento	Repliche
DBSCAN: a density-based unsupervised clustering algorithm	LORENZO D'ANTONI 3 gen 2023	LORENZO D'ANTONI 3 gen 2023	0
k-means with kernels	LORENZO D'ANTONI 16 dic 2022	LORENZO D'ANTONI 16 dic 2022	0
Lecture 16: Naive Bayes on textual documents + comparison with other classifiers	LORENZO D'ANTONI 10 dic 2022	LORENZO D'ANTONI 10 dic 2022	0
Lecture 14: PCA on the IRIS dataset	LORENZO D'ANTONI 4 dic 2022	LORENZO D'ANTONI 4 dic 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 ott 2022	LORENZO D'ANTONI 29 ott 2022	0
Perceptron-based multi-layer networks for boolean functions	LORENZO D'ANTONI 27 ott 2022	LORENZO D'ANTONI 27 ott 2022	0
DT for boolean formulas (ID3) + VC dimension	LORENZO D'ANTONI 23 ott 2022	LORENZO D'ANTONI 23 ott 2022	0
Ridge Regression: implementation, theory and derivation of the formula	LORENZO D'ANTONI 17 ott 2022	LORENZO D'ANTONI 17 ott 2022	0
Machine Learning Project: Implementation of adversarial machine learning using the FGSM attack on...	KOUROSH MARJOUEI 3 giu 2023	KOUROSH MARJOUEI 19 giu 2023	1
Comments on Hoeffding inequality	JUAN BAEZA RUIZ-HENESTROSA 11 gen 2023	JUAN BAEZA RUIZ-HENESTROSA 11 gen 2023	0
Analysis of movieLens dataset	JUAN BAEZA RUIZ-HENESTROSA 9 gen 2023	JUAN BAEZA RUIZ-HENESTROSA 9 gen 2023	0
Customer segmentation model using k-means and hieralchical clustering	JUAN BAEZA RUIZ-HENESTROSA 8 gen 2023	JUAN BAEZA RUIZ-HENESTROSA 8 gen 2023	0
Testing the Naive Bayes Classifier on 20newsgroups	JUAN BAEZA RUIZ-HENESTROSA 31 dic 2022	JUAN BAEZA RUIZ-HENESTROSA 31 dic 2022	0
Testing ensemble methods on the Predict Diabetes dataset	JUAN BAEZA RUIZ-HENESTROSA 31 dic 2022	JUAN BAEZA RUIZ-HENESTROSA 31 dic 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 ott 2022	JUAN BAEZA RUIZ-HENESTROSA 25 ott 2022	0
Implementation of function XOR using Peceptron-based networks	JUAN BAEZA RUIZ-HENESTROSA 24 ott 2022	JUAN BAEZA RUIZ-HENESTROSA 24 ott 2022	0
Recommendation system with Netflix dataset	JANARDHAN JAYACHANDRA KAMMATH 4 gen 2023	JANARDHAN JAYACHANDRA KAMMATH 4 gen 2023	0
Activity lecture 5	JANARDHAN JAYACHANDRA KAMMATH 29 ott 2022	JANARDHAN JAYACHANDRA KAMMATH 29 ott 2022	0
Lecture 4 exercise activity	JANARDHAN JAYACHANDRA KAMMATH 16 ott 2022	JANARDHAN JAYACHANDRA KAMMATH 16 ott 2022	0
PCA applied to IRIS dataset	JACOB ALEXANDER K GERNAY 31 dic 2022	JACOB ALEXANDER K GERNAY 31 dic 2022	0
Decision Tree Example (sklearn)	JACOB ALEXANDER K GERNAY 24 ott 2022	JACOB ALEXANDER K GERNAY 24 ott 2022	0
Ridge Regression in python	JACOB ALEXANDER K GERNAY 12 ott 2022	JACOB ALEXANDER K GERNAY 12 ott 2022	0
Lecture 17 exercise 1 & 2	HOU CHENG LAM 8 gen 2023	HOU CHENG LAM 8 gen 2023	0
Lecture 16 exercise 2	HOU CHENG LAM 8 gen 2023	HOU CHENG LAM 8 gen 2023	0
Lecture 16 exercise 1	HOU CHENG LAM 8 gen 2023	HOU CHENG LAM 8 gen 2023	0
Lecture 14 Exercise 3	HOU CHENG LAM 12 dic 2022	HOU CHENG LAM 12 dic 2022	0
Lecture 14 Exercise 2	HOU CHENG LAM 11 dic 2022	HOU CHENG LAM 11 dic 2022	0
Lecture 14 Exercise 1	HOU CHENG LAM 11 dic 2022	HOU CHENG LAM 11 dic 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 ott 2022	HANNANE HABIBI 30 ott 2022	0
lecture 04, VC dimension	HANNANE HABIBI 30 ott 2022	HANNANE HABIBI 30 ott 2022	0
Lecture 07 Perceptron	HANNANE HABIBI 30 ott 2022	HANNANE HABIBI 30 ott 2022	0
Lecture 05 ID3	HANNANE HABIBI 30 ott 2022	HANNANE HABIBI 30 ott 2022	0
lecture 7, Exercise "not"	HANNANE HABIBI 24 ott 2022	HANNANE HABIBI 24 ott 2022	0
Non personalized recommender systems on MovieLens dataset	FILIPPO FANTINATO 29 dic 2022	FILIPPO FANTINATO 29 dic 2022	0
Analysis of sparsity and distribution of ratings on MovieLens dataset	FILIPPO FANTINATO 28 dic 2022	FILIPPO FANTINATO 28 dic 2022	0
K-means on worms dataset	FILIPPO FANTINATO 28 dic 2022	FILIPPO FANTINATO 28 dic 2022	0
KNN on MovieLens dataset	FILIPPO FANTINATO 28 dic 2022	FILIPPO FANTINATO 28 dic 2022	0
Ensemble classifiers	FILIPPO FANTINATO 28 dic 2022	FILIPPO FANTINATO 28 dic 2022	0
Naive Bayesian classifiers	FILIPPO FANTINATO 28 dic 2022	FILIPPO FANTINATO 28 dic 2022	0
CNN on CIFAR dataset	FILIPPO FANTINATO 1 dic 2022	FILIPPO FANTINATO 1 dic 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 ott 2022	FILIPPO FANTINATO 29 ott 2022	0
Perceptron learning algorithm implementation	FILIPPO FANTINATO 28 ott 2022	FILIPPO FANTINATO 28 ott 2022	0
Sigmoid derivative	FILIPPO FANTINATO 26 ott 2022	FILIPPO FANTINATO 26 ott 2022	0
Perceptron for basic formulas	FILIPPO FANTINATO 25 ott 2022	FILIPPO FANTINATO 25 ott 2022	0
VC Dimension of R	FILIPPO FANTINATO 24 ott 2022	FILIPPO FANTINATO 24 ott 2022	0
DT ID3 for AND, OR, XOR	FILIPPO FANTINATO 24 ott 2022	FILIPPO FANTINATO 24 ott 2022	0
Ridge Regression	FILIPPO FANTINATO 24 ott 2022	FILIPPO FANTINATO 24 ott 2022	0
Hypothesis spaces	FILIPPO FANTINATO 24 ott 2022	FILIPPO FANTINATO 24 ott 2022	0
Lecture 19: Exercise 1	DENNIS RODERMUND 6 gen 2023	DENNIS RODERMUND 6 gen 2023	0
Lecture 17: Exercises	DENNIS RODERMUND 6 gen 2023	DENNIS RODERMUND 6 gen 2023	0
Lecture 16: Naive Bias	DENNIS RODERMUND 6 gen 2023	DENNIS RODERMUND 6 gen 2023	0
Lecture 14 Activities	DENNIS RODERMUND 4 dic 2022	DENNIS RODERMUND 4 dic 2022	0
Lecture 10/11 Activities	DENNIS RODERMUND 3 dic 2022	DENNIS RODERMUND 3 dic 2022	0
Lecture 9 Backpropagation for multiple hidden layers	DENNIS RODERMUND 3 dic 2022	DENNIS RODERMUND 3 dic 2022	0
Lecture 12 Ranged Type Variables Representation	DENNIS RODERMUND 3 dic 2022	DENNIS RODERMUND 3 dic 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 ott 2022	DENNIS RODERMUND 28 ott 2022	0
Lecture 7 Exercise 1: Boolean Functions with perceptrons	DENNIS RODERMUND 28 ott 2022	DENNIS RODERMUND 28 ott 2022	0
Lecture 8: Sigmoid Derivation	DENNIS RODERMUND 27 ott 2022	DENNIS RODERMUND 27 ott 2022	0
Lecture 5 Exercise	DENNIS RODERMUND 22 ott 2022	DENNIS RODERMUND 22 ott 2022	0
Lecture 4 Activity: VC Dimension	DENNIS RODERMUND 19 ott 2022	DENNIS RODERMUND 19 ott 2022	0
Lec3 Activity: Ridge Regression	DENNIS RODERMUND 16 ott 2022	DENNIS RODERMUND 16 ott 2022	0
LECT10_11 - SVM Linear vs Polynomial kernel	DAVIDE VEZZARO 6 gen 2023	DAVIDE VEZZARO 6 gen 2023	0
LECT14 - PCA from scratch	DAVIDE VEZZARO 6 gen 2023	DAVIDE VEZZARO 6 gen 2023	0
December lectures activities	DAVIDE ZANARINI 29 dic 2022	DAVIDE ZANARINI 29 dic 2022	0
Lecture 17 Ensemble Classifier	DAVIDE ALBIERO 29 dic 2022	DAVIDE ALBIERO 29 dic 2022	0
Lecture 19 MovieLens	DAVIDE ALBIERO 29 dic 2022	DAVIDE ALBIERO 29 dic 2022	0
Lecture 20 RecSys libraries	DAVIDE ALBIERO 29 dic 2022	DAVIDE ALBIERO 29 dic 2022	0
LECT20 - A MF recommender system based on LightFM .ipynb	DAVIDE VEZZARO 27 dic 2022	DAVIDE VEZZARO 27 dic 2022	0

DBSCAN: a density-based unsupervised clustering algorithm

LORENZO D'ANTONI

3 gen 2023

LORENZO D'ANTONI

3 gen 2023

0

k-means with kernels

LORENZO D'ANTONI

16 dic 2022

LORENZO D'ANTONI

16 dic 2022

0

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

LORENZO D'ANTONI

10 dic 2022

LORENZO D'ANTONI

10 dic 2022

0

Lecture 14: PCA on the IRIS dataset

LORENZO D'ANTONI

4 dic 2022

LORENZO D'ANTONI

4 dic 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 ott 2022

LORENZO D'ANTONI

29 ott 2022

0

Perceptron-based multi-layer networks for boolean functions

LORENZO D'ANTONI

27 ott 2022

LORENZO D'ANTONI

27 ott 2022

0

DT for boolean formulas (ID3) + VC dimension

LORENZO D'ANTONI

23 ott 2022

LORENZO D'ANTONI

23 ott 2022

0

Ridge Regression: implementation, theory and derivation of the formula

LORENZO D'ANTONI

17 ott 2022

LORENZO D'ANTONI

17 ott 2022

0

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

KOUROSH MARJOUEI

3 giu 2023

KOUROSH MARJOUEI

19 giu 2023

1

Comments on Hoeffding inequality

JUAN BAEZA RUIZ-HENESTROSA

11 gen 2023

JUAN BAEZA RUIZ-HENESTROSA

11 gen 2023

0

Analysis of movieLens dataset

JUAN BAEZA RUIZ-HENESTROSA

9 gen 2023

JUAN BAEZA RUIZ-HENESTROSA

9 gen 2023

0

Customer segmentation model using k-means and hieralchical clustering

JUAN BAEZA RUIZ-HENESTROSA

8 gen 2023

JUAN BAEZA RUIZ-HENESTROSA

8 gen 2023

0

Testing the Naive Bayes Classifier on 20newsgroups

JUAN BAEZA RUIZ-HENESTROSA

31 dic 2022

JUAN BAEZA RUIZ-HENESTROSA

31 dic 2022

0

Testing ensemble methods on the Predict Diabetes dataset

JUAN BAEZA RUIZ-HENESTROSA

31 dic 2022

JUAN BAEZA RUIZ-HENESTROSA

31 dic 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 ott 2022

JUAN BAEZA RUIZ-HENESTROSA

25 ott 2022

0

Implementation of function XOR using Peceptron-based networks

JUAN BAEZA RUIZ-HENESTROSA

24 ott 2022

JUAN BAEZA RUIZ-HENESTROSA

24 ott 2022

0

Recommendation system with Netflix dataset

JANARDHAN JAYACHANDRA KAMMATH

4 gen 2023

JANARDHAN JAYACHANDRA KAMMATH

4 gen 2023

0

Activity lecture 5

JANARDHAN JAYACHANDRA KAMMATH

29 ott 2022

JANARDHAN JAYACHANDRA KAMMATH

29 ott 2022

0

Lecture 4 exercise activity

JANARDHAN JAYACHANDRA KAMMATH

16 ott 2022

JANARDHAN JAYACHANDRA KAMMATH

16 ott 2022

0

PCA applied to IRIS dataset

JACOB ALEXANDER K GERNAY

31 dic 2022

JACOB ALEXANDER K GERNAY

31 dic 2022

0

Decision Tree Example (sklearn)

JACOB ALEXANDER K GERNAY

24 ott 2022

JACOB ALEXANDER K GERNAY

24 ott 2022

0

Ridge Regression in python

JACOB ALEXANDER K GERNAY

12 ott 2022

JACOB ALEXANDER K GERNAY

12 ott 2022

0

Lecture 17 exercise 1 & 2

HOU CHENG LAM

8 gen 2023

HOU CHENG LAM

8 gen 2023

0

Lecture 16 exercise 2

HOU CHENG LAM

8 gen 2023

HOU CHENG LAM

8 gen 2023

0

Lecture 16 exercise 1

HOU CHENG LAM

8 gen 2023

HOU CHENG LAM

8 gen 2023

0

Lecture 14 Exercise 3

HOU CHENG LAM

12 dic 2022

HOU CHENG LAM

12 dic 2022

0

Lecture 14 Exercise 2

HOU CHENG LAM

11 dic 2022

HOU CHENG LAM

11 dic 2022

0

Lecture 14 Exercise 1

HOU CHENG LAM

11 dic 2022

HOU CHENG LAM

11 dic 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 ott 2022

HANNANE HABIBI

30 ott 2022

0

lecture 04, VC dimension

HANNANE HABIBI

30 ott 2022

HANNANE HABIBI

30 ott 2022

0

Lecture 07 Perceptron

HANNANE HABIBI

30 ott 2022

HANNANE HABIBI

30 ott 2022

0

Lecture 05 ID3

HANNANE HABIBI

30 ott 2022

HANNANE HABIBI

30 ott 2022

0

lecture 7, Exercise "not"

HANNANE HABIBI

24 ott 2022

HANNANE HABIBI

24 ott 2022

0

Non personalized recommender systems on MovieLens dataset

FILIPPO FANTINATO

29 dic 2022

FILIPPO FANTINATO

29 dic 2022

0

Analysis of sparsity and distribution of ratings on MovieLens dataset

FILIPPO FANTINATO

28 dic 2022

FILIPPO FANTINATO

28 dic 2022

0

K-means on worms dataset

FILIPPO FANTINATO

28 dic 2022

FILIPPO FANTINATO

28 dic 2022

0

KNN on MovieLens dataset

FILIPPO FANTINATO

28 dic 2022

FILIPPO FANTINATO

28 dic 2022

0

Ensemble classifiers

FILIPPO FANTINATO

28 dic 2022

FILIPPO FANTINATO

28 dic 2022

0

Naive Bayesian classifiers

FILIPPO FANTINATO

28 dic 2022

FILIPPO FANTINATO

28 dic 2022

0

CNN on CIFAR dataset

FILIPPO FANTINATO

1 dic 2022

FILIPPO FANTINATO

1 dic 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 ott 2022

FILIPPO FANTINATO

29 ott 2022

0

Perceptron learning algorithm implementation

FILIPPO FANTINATO

28 ott 2022

FILIPPO FANTINATO

28 ott 2022

0

Sigmoid derivative

FILIPPO FANTINATO

26 ott 2022

FILIPPO FANTINATO

26 ott 2022

0

Perceptron for basic formulas

FILIPPO FANTINATO

25 ott 2022

FILIPPO FANTINATO

25 ott 2022

0

VC Dimension of R

FILIPPO FANTINATO

24 ott 2022

FILIPPO FANTINATO

24 ott 2022

0

DT ID3 for AND, OR, XOR

FILIPPO FANTINATO

24 ott 2022

FILIPPO FANTINATO

24 ott 2022

0

Ridge Regression

FILIPPO FANTINATO

24 ott 2022

FILIPPO FANTINATO

24 ott 2022

0

Hypothesis spaces

FILIPPO FANTINATO

24 ott 2022

FILIPPO FANTINATO

24 ott 2022

0

Lecture 19: Exercise 1

DENNIS RODERMUND

6 gen 2023

DENNIS RODERMUND

6 gen 2023

0

Lecture 17: Exercises

DENNIS RODERMUND

6 gen 2023

DENNIS RODERMUND

6 gen 2023

0

Lecture 16: Naive Bias

DENNIS RODERMUND

6 gen 2023

DENNIS RODERMUND

6 gen 2023

0

Lecture 14 Activities

DENNIS RODERMUND

4 dic 2022

DENNIS RODERMUND

4 dic 2022

0

Lecture 10/11 Activities

DENNIS RODERMUND

3 dic 2022

DENNIS RODERMUND

3 dic 2022

0

Lecture 9 Backpropagation for multiple hidden layers

DENNIS RODERMUND

3 dic 2022

DENNIS RODERMUND

3 dic 2022

0

Lecture 12 Ranged Type Variables Representation

DENNIS RODERMUND

3 dic 2022

DENNIS RODERMUND

3 dic 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 ott 2022

DENNIS RODERMUND

28 ott 2022

0

Lecture 7 Exercise 1: Boolean Functions with perceptrons

DENNIS RODERMUND

28 ott 2022

DENNIS RODERMUND

28 ott 2022

0

Lecture 8: Sigmoid Derivation

DENNIS RODERMUND

27 ott 2022

DENNIS RODERMUND

27 ott 2022

0

Lecture 5 Exercise

DENNIS RODERMUND

22 ott 2022

DENNIS RODERMUND

22 ott 2022

0

Lecture 4 Activity: VC Dimension

DENNIS RODERMUND

19 ott 2022

DENNIS RODERMUND

19 ott 2022

0

Lec3 Activity: Ridge Regression

DENNIS RODERMUND

16 ott 2022

DENNIS RODERMUND

16 ott 2022

0

LECT10_11 - SVM Linear vs Polynomial kernel

DAVIDE VEZZARO

6 gen 2023

DAVIDE VEZZARO

6 gen 2023

0

LECT14 - PCA from scratch

DAVIDE VEZZARO

6 gen 2023

DAVIDE VEZZARO

6 gen 2023

0

December lectures activities

DAVIDE ZANARINI

29 dic 2022

DAVIDE ZANARINI

29 dic 2022

0

Lecture 17 Ensemble Classifier

DAVIDE ALBIERO

29 dic 2022

DAVIDE ALBIERO

29 dic 2022

0

Lecture 19 MovieLens

DAVIDE ALBIERO

29 dic 2022

DAVIDE ALBIERO

29 dic 2022

0

Lecture 20 RecSys libraries

DAVIDE ALBIERO

29 dic 2022

DAVIDE ALBIERO

29 dic 2022

0

LECT20 - A MF recommender system based on LightFM .ipynb

DAVIDE VEZZARO

27 dic 2022

DAVIDE VEZZARO

27 dic 2022

0