Discussion Forum & Activities

List of discussions. Showing 100 of 513 discussions
Discussion	Started by	Last post	Replies
LECT20 - A MF recommender system based on LightFM .ipynb	DAVIDE VEZZARO 27 Dec 2022	DAVIDE VEZZARO 27 Dec 2022	0
LECT18 - Density Based Clustering and non spherical point cloud	DAVIDE VEZZARO 23 Dec 2022	DAVIDE VEZZARO 23 Dec 2022	0
LECT17 - Bagging reduces the average variance	DAVIDE VEZZARO 20 Dec 2022	DAVIDE VEZZARO 20 Dec 2022	0
LECT14 - Simple CNN on MNIST dataset using Keras	DAVIDE VEZZARO 30 Nov 2022	DAVIDE VEZZARO 30 Nov 2022	0
Lecture 14 Autoencoders MNIST	DAVIDE ALBIERO 30 Nov 2022	DAVIDE ALBIERO 30 Nov 2022	0
Lecture 14 PCA	DAVIDE ALBIERO 30 Nov 2022	DAVIDE ALBIERO 30 Nov 2022	0
November lectures exercises	DAVIDE ZANARINI 30 Nov 2022	DAVIDE ZANARINI 30 Nov 2022	0
Lecture 14 CNNs on CIFAR dataset	DAVIDE ALBIERO 29 Nov 2022	DAVIDE ALBIERO 29 Nov 2022	0
Lecture 12 Titanic Preprocessing	DAVIDE ALBIERO 29 Nov 2022	DAVIDE ALBIERO 29 Nov 2022	0
LECT12 - Preprocessing Titanic dataset	DAVIDE VEZZARO 21 Nov 2022	DAVIDE VEZZARO 21 Nov 2022	0
LECT05-ID3 on boolean formulas explained	DAVIDE VEZZARO 11 Nov 2022	DAVIDE VEZZARO 11 Nov 2022	0
LECT07 - Implementation of perceptron algorithm	DAVIDE VEZZARO 5 Nov 2022	DAVIDE VEZZARO 5 Nov 2022	0
Lecture 7 - Implementation of Perceptron	DAVIDE BASSAN 4 Nov 2022	DAVIDE BASSAN 4 Nov 2022	0
LECT07 - XOR gate	DAVIDE VEZZARO 31 Oct 2022	DAVIDE VEZZARO 31 Oct 2022	0
Lecture 06 - Comparison ID3 CART	DAVIDE ALBIERO 28 Oct 2022	DAVIDE ALBIERO 28 Oct 2022	0
October lectures exercises	DAVIDE ZANARINI 28 Oct 2022	DAVIDE ZANARINI 28 Oct 2022	0
Lecture 04 VC-Dimension	DAVIDE ALBIERO 26 Oct 2022	DAVIDE ALBIERO 26 Oct 2022	0
Lecture 08 Derivation	DAVIDE ALBIERO 26 Oct 2022	DAVIDE ALBIERO 26 Oct 2022	0
Lecture 07 Perceptron for NOT, A XOR B and A &&! B	DAVIDE ALBIERO 26 Oct 2022	DAVIDE ALBIERO 26 Oct 2022	0
Single Perceptron Python - a AND (NOT b)	DAVIDE BASSAN 26 Oct 2022	DAVIDE BASSAN 26 Oct 2022	0
Lecture 05 Decision Tree boolean formula	DAVIDE ALBIERO 25 Oct 2022	DAVIDE ALBIERO 25 Oct 2022	0
Lecture 18: clustering	DANIELE TRENTIN 8 Jan 2023	DANIELE TRENTIN 8 Jan 2023	0
Lecture 16	DANIELE TRENTIN 4 Jan 2023	DANIELE TRENTIN 4 Jan 2023	0
Lecture 17	DANIELE TRENTIN 4 Jan 2023	DANIELE TRENTIN 4 Jan 2023	0
Lecture 14: PCA on Iris dataset	DANIELE TRENTIN 2 Jan 2023	DANIELE TRENTIN 2 Jan 2023	0
Lecture 13: bias and variance evaluation	DANIELE TRENTIN 2 Jan 2023	DANIELE TRENTIN 2 Jan 2023	0
Lecture 12: Titanic preprocessing	DANIELE TRENTIN 26 Dec 2022	DANIELE TRENTIN 26 Dec 2022	0
Lecture 9 neural network implementation	DANIELE TRENTIN 24 Dec 2022	DANIELE TRENTIN 24 Dec 2022	0
Lecture 8 implementation of delta rule	DANIELE TRENTIN 23 Dec 2022	DANIELE TRENTIN 23 Dec 2022	0
Lecture 8 exercise 1	DANIELE TRENTIN 23 Dec 2022	DANIELE TRENTIN 23 Dec 2022	0
Create a Decision Tree with ID3: exercise on paper	DANIELE TRENTIN 31 Oct 2022	DANIELE TRENTIN 31 Oct 2022	0
December activities	DAMIANO MASON 29 Dec 2022	DAMIANO MASON 29 Dec 2022	0
November activities	DAMIANO MASON 30 Nov 2022	DAMIANO MASON 30 Nov 2022	0
October exercises	DAMIANO MASON 31 Oct 2022	DAMIANO MASON 31 Oct 2022	0
Bagging practice	DAICHI ANDO 18 Dec 2022	DAICHI ANDO 18 Dec 2022	0
Ensemble	DAICHI ANDO 17 Dec 2022	DAICHI ANDO 17 Dec 2022	0
Lecture 16: Naive Bayes Classifier	DAICHI ANDO 17 Dec 2022	DAICHI ANDO 17 Dec 2022	0
Lecture 12 titanic	DAICHI ANDO 30 Nov 2022	DAICHI ANDO 30 Nov 2022	0
bias and variance	DAICHI ANDO 28 Nov 2022	DAICHI ANDO 28 Nov 2022	0
Lecture 10: SVM	DAICHI ANDO 28 Nov 2022	DAICHI ANDO 28 Nov 2022	0
k_nearest_neighbor	DAICHI ANDO 29 Oct 2022	DAICHI ANDO 29 Oct 2022	0
Perception algorithm for NOT	DAICHI ANDO 28 Oct 2022	DAICHI ANDO 28 Oct 2022	0
binary classification / multi-class classification / regression	DAICHI ANDO 28 Oct 2022	DAICHI ANDO 28 Oct 2022	0
L14 - CNN	CRISTIANO PANIGHEL 13 Jan 2023	CRISTIANO PANIGHEL 13 Jan 2023	0
L19 - Movie Lens	CRISTIANO PANIGHEL 22 Dec 2022	CRISTIANO PANIGHEL 22 Dec 2022	0
L17 - Ensemble Classifier	CRISTIANO PANIGHEL 16 Dec 2022	CRISTIANO PANIGHEL 16 Dec 2022	0
L16 - Comparison Naive Bayes classifier with other classifiers	CRISTIANO PANIGHEL 6 Dec 2022	CRISTIANO PANIGHEL 6 Dec 2022	0
L14 - Autoencoder	CRISTIANO PANIGHEL 29 Nov 2022	CRISTIANO PANIGHEL 29 Nov 2022	0
L14 - PCA	CRISTIANO PANIGHEL 29 Nov 2022	CRISTIANO PANIGHEL 29 Nov 2022	0
L13 - Bias and Variance	CRISTIANO PANIGHEL 25 Nov 2022	CRISTIANO PANIGHEL 25 Nov 2022	0
L12 - Titanic Dataset	CRISTIANO PANIGHEL 17 Nov 2022	CRISTIANO PANIGHEL 17 Nov 2022	0
L09- Backpropagation	CRISTIANO PANIGHEL 14 Nov 2022	CRISTIANO PANIGHEL 14 Nov 2022	0
L07 - Perceptron	CRISTIANO PANIGHEL 7 Nov 2022	CRISTIANO PANIGHEL 7 Nov 2022	0
L03 - Ridge regression	CRISTIANO PANIGHEL 31 Oct 2022	CRISTIANO PANIGHEL 31 Oct 2022	0
L08 - Derivative	CRISTIANO PANIGHEL 26 Oct 2022	CRISTIANO PANIGHEL 26 Oct 2022	0
L07 - Multi-layer Perceptron	CRISTIANO PANIGHEL 25 Oct 2022	CRISTIANO PANIGHEL 25 Oct 2022	0
L06 - Comparison Sklearn and ID3	CRISTIANO PANIGHEL 25 Oct 2022	CRISTIANO PANIGHEL 25 Oct 2022	0
L05 - DecisionTree	CRISTIANO PANIGHEL 25 Oct 2022	CRISTIANO PANIGHEL 25 Oct 2022	0
L04 - VCDimesion	CRISTIANO PANIGHEL 25 Oct 2022	CRISTIANO PANIGHEL 25 Oct 2022	0
L03 - Hypothesis Space	CRISTIANO PANIGHEL 25 Oct 2022	CRISTIANO PANIGHEL 25 Oct 2022	0
Bagging Classifier	CELIA DIAZ FERNANDEZ 15 Dec 2022	CELIA DIAZ FERNANDEZ 15 Dec 2022	0
Decision tree implementation [Doubt]	CELIA DIAZ FERNANDEZ 24 Nov 2022	DAVIDE VEZZARO 20 Dec 2022	1
Lecture 19	CECILIA FIGUERAS TELLEZ 13 Jan 2023	CECILIA FIGUERAS TELLEZ 13 Jan 2023	0
18. Clustering	CECILIA FIGUERAS TELLEZ 13 Jan 2023	CECILIA FIGUERAS TELLEZ 13 Jan 2023	0
Ensemble Learning	CECILIA FIGUERAS TELLEZ 12 Jan 2023	CECILIA FIGUERAS TELLEZ 12 Jan 2023	0
Lesson 3	CECILIA FIGUERAS TELLEZ 30 Dec 2022	CECILIA FIGUERAS TELLEZ 30 Dec 2022	0
Lecture 6 (ID3,CART)	CECILIA FIGUERAS TELLEZ 30 Dec 2022	CECILIA FIGUERAS TELLEZ 30 Dec 2022	0
Lecture 12 (I)	CECILIA FIGUERAS TELLEZ 30 Dec 2022	CECILIA FIGUERAS TELLEZ 30 Dec 2022	0
Sigmoidal activation derivate	CECILIA FIGUERAS TELLEZ 29 Dec 2022	CECILIA FIGUERAS TELLEZ 29 Dec 2022	0
Lecture 14 - Autoencoders on the MNIST dataset	AVA LOUISE FINNEGAN 18 Dec 2022	AVA LOUISE FINNEGAN 18 Dec 2022	0
Lecture 16 - Naive Bayes	AVA LOUISE FINNEGAN 8 Dec 2022	AVA LOUISE FINNEGAN 8 Dec 2022	0
Using the ID3 algorithm, compute the Decision Tree for AND,OR,NOR	AVA LOUISE FINNEGAN 22 Nov 2022	AVA LOUISE FINNEGAN 22 Nov 2022	0
Lecture 13 - To Show the Effect that Overfitting and Underfitting have on Variance and Bias¶	AVA LOUISE FINNEGAN 22 Nov 2022	AVA LOUISE FINNEGAN 22 Nov 2022	0
Lecture 9 - Implement the network given on Slide 15.	AVA LOUISE FINNEGAN 8 Nov 2022	AVA LOUISE FINNEGAN 8 Nov 2022	0
VC-Dimension of other hypothesis spaces	AVA LOUISE FINNEGAN 30 Oct 2022	AVA LOUISE FINNEGAN 30 Oct 2022	0
Show that σ′(y) = σ(y)(1 − σ(y))	AVA LOUISE FINNEGAN 29 Oct 2022	AVA LOUISE FINNEGAN 29 Oct 2022	0
Derivation of the sigmoid function: σ′(y) = σ(y)(1 − σ(y))	AVA LOUISE FINNEGAN 29 Oct 2022	AVA LOUISE FINNEGAN 29 Oct 2022	0
Implementation of the Perceptron Algorithm	AVA LOUISE FINNEGAN 29 Oct 2022	AVA LOUISE FINNEGAN 29 Oct 2022	0
Naive Bayes and other classifiers comparison.	ANDREA FAVERO 31 Dec 2022	ANDREA FAVERO 31 Dec 2022	0
Prove that, if the Perceptron algorithm is initialized with the null vector, then the coefficient...	ANDREA FAVERO 30 Nov 2022	ANDREA FAVERO 30 Nov 2022	0
SVM and Kernel comparison from lectures on "(Generalized) Linear Models and SVM"	ANDREA FAVERO 30 Nov 2022	ANDREA FAVERO 30 Nov 2022	0
SVM motivation	ANDREA FAVERO 30 Nov 2022	ANDREA FAVERO 30 Nov 2022	0
Proof of the sigmoid derivative	ANDREA FAVERO 30 Nov 2022	ANDREA FAVERO 30 Nov 2022	0
Lecture 7: Implementation of the Perceptron algorithm	ANDREA FAVERO 30 Oct 2022	ANDREA FAVERO 30 Oct 2022	0
Lecture 7 NOT implementation	ANDREA FAVERO 29 Oct 2022	ANDREA FAVERO 29 Oct 2022	1
Polynomial ridge regression from lecture 3	ANDREA FAVERO 27 Oct 2022	ANDREA FAVERO 27 Oct 2022	0
Complementary material for lecture 4	ANDREA FAVERO 17 Oct 2022	ANDREA FAVERO 17 Oct 2022	0
Recommender System	AMIR SADEGHI 30 Dec 2022	AMIR SADEGHI 30 Dec 2022	0
Clustering and PCA	AMIR SADEGHI 28 Dec 2022	AMIR SADEGHI 28 Dec 2022	0
Lez14 Ex	AMIR SADEGHI 26 Dec 2022	AMIR SADEGHI 26 Dec 2022	0
Preprocessing and Perceptron sklearn	AMIR SADEGHI 25 Nov 2022	AMIR SADEGHI 25 Nov 2022	0
Preprocessing - SVM - Naive Bayes - Logistic Regression	AMIR SADEGHI 21 Nov 2022	AMIR SADEGHI 21 Nov 2022	0
Lec 8 Exercises	AMIR SADEGHI 2 Nov 2022	AMIR SADEGHI 2 Nov 2022	0
Lec7 Exercises	AMIR SADEGHI 2 Nov 2022	AMIR SADEGHI 2 Nov 2022	0
Decision Tree & KNN	AMIR SADEGHI 24 Oct 2022	AMIR SADEGHI 24 Oct 2022	0
Ridge Regression	AMIR SADEGHI 16 Oct 2022	AMIR SADEGHI 16 Oct 2022	0
Lecture 20 - Exercise 1	ALESSANDRO RESTA 25 Dec 2022	ALESSANDRO RESTA 25 Dec 2022	0
Lecture 19 - Exercises	ALESSANDRO RESTA 24 Dec 2022	ALESSANDRO RESTA 24 Dec 2022	0
Lecture 18 - Exercise 1	ALESSANDRO RESTA 19 Dec 2022	ALESSANDRO RESTA 19 Dec 2022	0
Lecture 17 - Exercises	ALESSANDRO RESTA 15 Dec 2022	ALESSANDRO RESTA 15 Dec 2022	0