Discussion Forum & Activities

Elenco delle discussioni. Visualizzazione di 100 discussioni su 512
Discussione	Iniziato da	Ultimo intervento	Repliche
Lec3 - Exercise part 1	AHMAD KARAMI 22 ott 2022	AHMAD KARAMI 22 ott 2022	0
lec4 - Exercise	AHMAD KARAMI 22 ott 2022	AHMAD KARAMI 22 ott 2022	0
lec4 - Exercise	AHMAD KARAMI 27 ott 2022	AHMAD KARAMI 27 ott 2022	0
lecture 5	AHMAD KARAMI 2 nov 2022	AHMAD KARAMI 2 nov 2022	0
Lecture3 - Exercises 1 and 2	ALESSANDRO RESTA 17 ott 2022	ALESSANDRO RESTA 17 ott 2022	0
Lecture 4 - Exercise	ALESSANDRO RESTA 17 ott 2022	ALESSANDRO RESTA 17 ott 2022	0
Lecture 5 - Exercise	ALESSANDRO RESTA 18 ott 2022	ALESSANDRO RESTA 18 ott 2022	0
Lecture 7 - Exercises 1 and 3	ALESSANDRO RESTA 30 ott 2022	ALESSANDRO RESTA 30 ott 2022	0
Lecture 8 - Exercises	ALESSANDRO RESTA 31 ott 2022	ALESSANDRO RESTA 31 ott 2022	0
Possible error Lecture 9 - NN3 slide 9/17	ALESSANDRO RESTA 6 nov 2022	RICCARDO CAPPI 6 nov 2022	3
Lecture 12 - Exercises 2-3	ALESSANDRO RESTA 22 nov 2022	ALESSANDRO RESTA 22 nov 2022	0
Lectture 14 - Exercise CNNs on CIFAR dataset	ALESSANDRO RESTA 26 nov 2022	ALESSANDRO RESTA 26 nov 2022	0
Lecture 16 - Exercise	ALESSANDRO RESTA 15 dic 2022	ALESSANDRO RESTA 15 dic 2022	0
Lecture 17 - Exercises	ALESSANDRO RESTA 15 dic 2022	ALESSANDRO RESTA 15 dic 2022	0
Lecture 18 - Exercise 1	ALESSANDRO RESTA 19 dic 2022	ALESSANDRO RESTA 19 dic 2022	0
Lecture 19 - Exercises	ALESSANDRO RESTA 24 dic 2022	ALESSANDRO RESTA 24 dic 2022	0
Lecture 20 - Exercise 1	ALESSANDRO RESTA 25 dic 2022	ALESSANDRO RESTA 25 dic 2022	0
Ridge Regression	AMIR SADEGHI 16 ott 2022	AMIR SADEGHI 16 ott 2022	0
Decision Tree & KNN	AMIR SADEGHI 24 ott 2022	AMIR SADEGHI 24 ott 2022	0
Lec7 Exercises	AMIR SADEGHI 2 nov 2022	AMIR SADEGHI 2 nov 2022	0
Lec 8 Exercises	AMIR SADEGHI 2 nov 2022	AMIR SADEGHI 2 nov 2022	0
Preprocessing - SVM - Naive Bayes - Logistic Regression	AMIR SADEGHI 21 nov 2022	AMIR SADEGHI 21 nov 2022	0
Preprocessing and Perceptron sklearn	AMIR SADEGHI 25 nov 2022	AMIR SADEGHI 25 nov 2022	0
Lez14 Ex	AMIR SADEGHI 26 dic 2022	AMIR SADEGHI 26 dic 2022	0
Clustering and PCA	AMIR SADEGHI 28 dic 2022	AMIR SADEGHI 28 dic 2022	0
Recommender System	AMIR SADEGHI 30 dic 2022	AMIR SADEGHI 30 dic 2022	0
Complementary material for lecture 4	ANDREA FAVERO 17 ott 2022	ANDREA FAVERO 17 ott 2022	0
Polynomial ridge regression from lecture 3	ANDREA FAVERO 27 ott 2022	ANDREA FAVERO 27 ott 2022	0
Lecture 7 NOT implementation	ANDREA FAVERO 29 ott 2022	ANDREA FAVERO 29 ott 2022	1
Lecture 7: Implementation of the Perceptron algorithm	ANDREA FAVERO 30 ott 2022	ANDREA FAVERO 30 ott 2022	0
Proof of the sigmoid derivative	ANDREA FAVERO 30 nov 2022	ANDREA FAVERO 30 nov 2022	0
SVM motivation	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
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
Naive Bayes and other classifiers comparison.	ANDREA FAVERO 31 dic 2022	ANDREA FAVERO 31 dic 2022	0
Implementation of the Perceptron Algorithm	AVA LOUISE FINNEGAN 29 ott 2022	AVA LOUISE FINNEGAN 29 ott 2022	0
Derivation of the sigmoid function: σ′(y) = σ(y)(1 − σ(y))	AVA LOUISE FINNEGAN 29 ott 2022	AVA LOUISE FINNEGAN 29 ott 2022	0
Show that σ′(y) = σ(y)(1 − σ(y))	AVA LOUISE FINNEGAN 29 ott 2022	AVA LOUISE FINNEGAN 29 ott 2022	0
VC-Dimension of other hypothesis spaces	AVA LOUISE FINNEGAN 30 ott 2022	AVA LOUISE FINNEGAN 30 ott 2022	0
Lecture 9 - Implement the network given on Slide 15.	AVA LOUISE FINNEGAN 8 nov 2022	AVA LOUISE FINNEGAN 8 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
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 16 - Naive Bayes	AVA LOUISE FINNEGAN 8 dic 2022	AVA LOUISE FINNEGAN 8 dic 2022	0
Lecture 14 - Autoencoders on the MNIST dataset	AVA LOUISE FINNEGAN 18 dic 2022	AVA LOUISE FINNEGAN 18 dic 2022	0
Sigmoidal activation derivate	CECILIA FIGUERAS TELLEZ 29 dic 2022	CECILIA FIGUERAS TELLEZ 29 dic 2022	0
Lecture 12 (I)	CECILIA FIGUERAS TELLEZ 30 dic 2022	CECILIA FIGUERAS TELLEZ 30 dic 2022	0
Lecture 6 (ID3,CART)	CECILIA FIGUERAS TELLEZ 30 dic 2022	CECILIA FIGUERAS TELLEZ 30 dic 2022	0
Lesson 3	CECILIA FIGUERAS TELLEZ 30 dic 2022	CECILIA FIGUERAS TELLEZ 30 dic 2022	0
Ensemble Learning	CECILIA FIGUERAS TELLEZ 12 gen 2023	CECILIA FIGUERAS TELLEZ 12 gen 2023	0
18. Clustering	CECILIA FIGUERAS TELLEZ 13 gen 2023	CECILIA FIGUERAS TELLEZ 13 gen 2023	0
Lecture 19	CECILIA FIGUERAS TELLEZ 13 gen 2023	CECILIA FIGUERAS TELLEZ 13 gen 2023	0
Decision tree implementation [Doubt]	CELIA DIAZ FERNANDEZ 24 nov 2022	DAVIDE VEZZARO 20 dic 2022	1
Bagging Classifier	CELIA DIAZ FERNANDEZ 15 dic 2022	CELIA DIAZ FERNANDEZ 15 dic 2022	0
L03 - Hypothesis Space	CRISTIANO PANIGHEL 25 ott 2022	CRISTIANO PANIGHEL 25 ott 2022	0
L04 - VCDimesion	CRISTIANO PANIGHEL 25 ott 2022	CRISTIANO PANIGHEL 25 ott 2022	0
L05 - DecisionTree	CRISTIANO PANIGHEL 25 ott 2022	CRISTIANO PANIGHEL 25 ott 2022	0
L06 - Comparison Sklearn and ID3	CRISTIANO PANIGHEL 25 ott 2022	CRISTIANO PANIGHEL 25 ott 2022	0
L07 - Multi-layer Perceptron	CRISTIANO PANIGHEL 25 ott 2022	CRISTIANO PANIGHEL 25 ott 2022	0
L08 - Derivative	CRISTIANO PANIGHEL 26 ott 2022	CRISTIANO PANIGHEL 26 ott 2022	0
L03 - Ridge regression	CRISTIANO PANIGHEL 31 ott 2022	CRISTIANO PANIGHEL 31 ott 2022	0
L07 - Perceptron	CRISTIANO PANIGHEL 7 nov 2022	CRISTIANO PANIGHEL 7 nov 2022	0
L09- Backpropagation	CRISTIANO PANIGHEL 14 nov 2022	CRISTIANO PANIGHEL 14 nov 2022	0
L12 - Titanic Dataset	CRISTIANO PANIGHEL 17 nov 2022	CRISTIANO PANIGHEL 17 nov 2022	0
L13 - Bias and Variance	CRISTIANO PANIGHEL 25 nov 2022	CRISTIANO PANIGHEL 25 nov 2022	0
L14 - PCA	CRISTIANO PANIGHEL 29 nov 2022	CRISTIANO PANIGHEL 29 nov 2022	0
L14 - Autoencoder	CRISTIANO PANIGHEL 29 nov 2022	CRISTIANO PANIGHEL 29 nov 2022	0
L16 - Comparison Naive Bayes classifier with other classifiers	CRISTIANO PANIGHEL 6 dic 2022	CRISTIANO PANIGHEL 6 dic 2022	0
L17 - Ensemble Classifier	CRISTIANO PANIGHEL 16 dic 2022	CRISTIANO PANIGHEL 16 dic 2022	0
L19 - Movie Lens	CRISTIANO PANIGHEL 22 dic 2022	CRISTIANO PANIGHEL 22 dic 2022	0
L14 - CNN	CRISTIANO PANIGHEL 13 gen 2023	CRISTIANO PANIGHEL 13 gen 2023	0
binary classification / multi-class classification / regression	DAICHI ANDO 28 ott 2022	DAICHI ANDO 28 ott 2022	0
Perception algorithm for NOT	DAICHI ANDO 28 ott 2022	DAICHI ANDO 28 ott 2022	0
k_nearest_neighbor	DAICHI ANDO 29 ott 2022	DAICHI ANDO 29 ott 2022	0
Lecture 10: SVM	DAICHI ANDO 28 nov 2022	DAICHI ANDO 28 nov 2022	0
bias and variance	DAICHI ANDO 28 nov 2022	DAICHI ANDO 28 nov 2022	0
Lecture 12 titanic	DAICHI ANDO 30 nov 2022	DAICHI ANDO 30 nov 2022	0
Lecture 16: Naive Bayes Classifier	DAICHI ANDO 17 dic 2022	DAICHI ANDO 17 dic 2022	0
Ensemble	DAICHI ANDO 17 dic 2022	DAICHI ANDO 17 dic 2022	0
Bagging practice	DAICHI ANDO 18 dic 2022	DAICHI ANDO 18 dic 2022	0
October exercises	DAMIANO MASON 31 ott 2022	DAMIANO MASON 31 ott 2022	0
November activities	DAMIANO MASON 30 nov 2022	DAMIANO MASON 30 nov 2022	0
December activities	DAMIANO MASON 29 dic 2022	DAMIANO MASON 29 dic 2022	0
Create a Decision Tree with ID3: exercise on paper	DANIELE TRENTIN 31 ott 2022	DANIELE TRENTIN 31 ott 2022	0
Lecture 8 exercise 1	DANIELE TRENTIN 23 dic 2022	DANIELE TRENTIN 23 dic 2022	0
Lecture 8 implementation of delta rule	DANIELE TRENTIN 23 dic 2022	DANIELE TRENTIN 23 dic 2022	0
Lecture 9 neural network implementation	DANIELE TRENTIN 24 dic 2022	DANIELE TRENTIN 24 dic 2022	0
Lecture 12: Titanic preprocessing	DANIELE TRENTIN 26 dic 2022	DANIELE TRENTIN 26 dic 2022	0
Lecture 13: bias and variance evaluation	DANIELE TRENTIN 2 gen 2023	DANIELE TRENTIN 2 gen 2023	0
Lecture 14: PCA on Iris dataset	DANIELE TRENTIN 2 gen 2023	DANIELE TRENTIN 2 gen 2023	0
Lecture 17	DANIELE TRENTIN 4 gen 2023	DANIELE TRENTIN 4 gen 2023	0
Lecture 16	DANIELE TRENTIN 4 gen 2023	DANIELE TRENTIN 4 gen 2023	0
Lecture 18: clustering	DANIELE TRENTIN 8 gen 2023	DANIELE TRENTIN 8 gen 2023	0
Lecture 05 Decision Tree boolean formula	DAVIDE ALBIERO 25 ott 2022	DAVIDE ALBIERO 25 ott 2022	0
Single Perceptron Python - a AND (NOT b)	DAVIDE BASSAN 26 ott 2022	DAVIDE BASSAN 26 ott 2022	0
Lecture 07 Perceptron for NOT, A XOR B and A &&! B	DAVIDE ALBIERO 26 ott 2022	DAVIDE ALBIERO 26 ott 2022	0
Lecture 08 Derivation	DAVIDE ALBIERO 26 ott 2022	DAVIDE ALBIERO 26 ott 2022	0
Lecture 04 VC-Dimension	DAVIDE ALBIERO 26 ott 2022	DAVIDE ALBIERO 26 ott 2022	0
October lectures exercises	DAVIDE ZANARINI 28 ott 2022	DAVIDE ZANARINI 28 ott 2022	0
Lecture 06 - Comparison ID3 CART	DAVIDE ALBIERO 28 ott 2022	DAVIDE ALBIERO 28 ott 2022	0
LECT07 - XOR gate	DAVIDE VEZZARO 31 ott 2022	DAVIDE VEZZARO 31 ott 2022	0