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Lecture 14
Avatar MARIJA NENADIĆ
MARIJA NENADIĆ
Avatar MARIJA NENADIĆ
MARIJA NENADIĆ
 0
Lecture 14
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 14
Avatar NILA AKBARI
NILA AKBARI
Avatar NILA AKBARI
NILA AKBARI
 0
Lecture 13: bias and variance evaluation
Avatar DANIELE TRENTIN
DANIELE TRENTIN
Avatar DANIELE TRENTIN
DANIELE TRENTIN
 0
Lecture 13 Exercise 2
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 0
Lecture 13 Bias and Variance
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Lecture 13 - To Show the Effect that Overfitting and Underfitting have on Variance and Bias¶
Avatar AVA LOUISE FINNEGAN
AVA LOUISE FINNEGAN
Avatar AVA LOUISE FINNEGAN
AVA LOUISE FINNEGAN
 0
Lecture 13 - Bias and Variance evaluation
Avatar Nicolò Predenz
Nicolò Predenz
Avatar Nicolò Predenz
Nicolò Predenz
 0
Lecture 12: Titanic preprocessing
Avatar DANIELE TRENTIN
DANIELE TRENTIN
Avatar DANIELE TRENTIN
DANIELE TRENTIN
 0
Lecture 12: preprocess Titanic dataset
Avatar LORENZO D'ANTONI
LORENZO D'ANTONI
Avatar LORENZO D'ANTONI
LORENZO D'ANTONI
 0
Lecture 12 Titanic Preprocessing
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 12 titanic
Avatar DAICHI ANDO
DAICHI ANDO
Avatar DAICHI ANDO
DAICHI ANDO
 0
Lecture 12 Titanic
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Lecture 12 Ranged Type Variables Representation
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Lecture 12 range-type variables
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
Lecture 12 range-type variable representation
Avatar NILA AKBARI
NILA AKBARI
Avatar NILA AKBARI
NILA AKBARI
 0
lecture 12 model selection on TITANIC dataset
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 12 Exercise 3
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 0
Lecture 12 exercise 2
Avatar SANJAR TLEPIN
SANJAR TLEPIN
Avatar SANJAR TLEPIN
SANJAR TLEPIN
 0
Lecture 12 Exercise 2
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 0
Lecture 12 - Titanic KNN
Avatar MARIJA NENADIĆ
MARIJA NENADIĆ
Avatar MARIJA NENADIĆ
MARIJA NENADIĆ
 0
Lecture 12 - Titanic Dataset
Avatar Salvatore Gatto
Salvatore Gatto
Avatar Salvatore Gatto
Salvatore Gatto
 0
Lecture 12 - Exercises 2-3
Avatar ALESSANDRO RESTA
ALESSANDRO RESTA
Avatar ALESSANDRO RESTA
ALESSANDRO RESTA
 0
Lecture 12 - Churn data set
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Lecture 12 (I)
Avatar CECILIA FIGUERAS TELLEZ
CECILIA FIGUERAS TELLEZ
Avatar CECILIA FIGUERAS TELLEZ
CECILIA FIGUERAS TELLEZ
 0
Lecture 12
Avatar Mahshad Golafshan
Mahshad Golafshan
Avatar Mahshad Golafshan
Mahshad Golafshan
 0
Lecture 10: SVM
Avatar DAICHI ANDO
DAICHI ANDO
Avatar DAICHI ANDO
DAICHI ANDO
 0
Lecture 10/11, SVM VS NN
Avatar Mahshad Golafshan
Mahshad Golafshan
Avatar Mahshad Golafshan
Mahshad Golafshan
 0
Lecture 10/11 Activities
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Lecture 10 - SVM optimization problem
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 2
lecture 09 backprop for multilayer NNs
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 08_NN-Exercise
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
Lecture 08 Derivation
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 08 - Sigmoid derivative proof
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
lecture 08
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 07, perceptron based multi_layer networks with hard thresholds
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
lecture 07, NOT perceptron
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
Avatar MOHAMMAD HOSSEINIPOUR
MOHAMMAD HOSSEINIPOUR
 0
Lecture 07 Perceptron for NOT, A XOR B and A &&! B
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 07 Perceptron
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
Lecture 07 - Perceptron boolean functions
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Lecture 07 - Boolean Functions with multi-layer NN
Avatar Nicolò Predenz
Nicolò Predenz
Avatar Nicolò Predenz
Nicolò Predenz
 0
Lecture 07 (ANN)
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 06 - Theory and sklearn DTs comparison
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Lecture 06 - Comparison ID3 CART
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 06
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 0
Lecture 05 ID3
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
Lecture 05 Exercise - Compute DT for Boolean formulas
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
lecture 05 DTs
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 05 Decision Tree Boolean Formulas
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
Avatar NIKOLA ANDRIĆ MITROVIĆ
NIKOLA ANDRIĆ MITROVIĆ
 0
Lecture 05 Decision Tree boolean formula
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
lecture 04, VC dimension
Avatar Hannane Habibi
Hannane Habibi
Avatar Hannane Habibi
Hannane Habibi
 0
lecture 04 VC-Dimension (Axis-Aligned Rectangles)
Avatar Sahar Sheikhi
Sahar Sheikhi
Avatar Sahar Sheikhi
Sahar Sheikhi
 0
Lecture 04 VC-Dimension
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
Avatar DAVIDE ALBIERO
DAVIDE ALBIERO
 0
Lecture 03 Exercise - Consider the hypothesis spaces
Avatar Nikola Bulat
Nikola Bulat
Avatar Nikola Bulat
Nikola Bulat
 0
Lecture 03 Ex 2
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 1
Lectture 14 - Exercise CNNs on CIFAR dataset
Avatar ALESSANDRO RESTA
ALESSANDRO RESTA
Avatar ALESSANDRO RESTA
ALESSANDRO RESTA
 0
LECT20 - A MF recommender system based on LightFM .ipynb
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
LECT18 - Density Based Clustering and non spherical point cloud
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
LECT17 - Bagging reduces the average variance
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
Lect14-PCA on Iris dataset
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
LECT14 - Simple CNN on MNIST dataset using Keras
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
LECT14 - PCA from scratch
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
Lect12-Numeric variables vs ad-hoc encoding
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
LECT12 - Preprocessing Titanic dataset
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
LECT10_11 - SVM Linear vs Polynomial kernel
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
Lect07-Perceptron_algorithm
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
LECT07 - XOR gate
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
LECT07 - Implementation of perceptron algorithm
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
LECT05-ID3 on boolean formulas explained
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
Avatar DAVIDE VEZZARO
DAVIDE VEZZARO
 0
Lect 12 - Preprocess data using Titanic dataset
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
Avatar LUIGI BORRIELLO
LUIGI BORRIELLO
 0
Lec9 Exercise
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
 0
Lec8-Excersies
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
 0
Lec8 - Exercise 1 - Proof "σ′(y) = σ(y)(1 −σ(y))"
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec7- Exercises
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
 0
Lec7 Exercises
Avatar AMIR SADEGHI
AMIR SADEGHI
Avatar AMIR SADEGHI
AMIR SADEGHI
 0
Lec7 - Exercise - Proof
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec7 - Ex:3 - "Implementation of Perceptron algorithm"
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec7 - Ex:1 - "Perceptron-based multi-layer networks with hard thresholds and relative weights ...
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec6 - Ex1 - "Implementing a Decision Tree Classifier using scikit-learn in Python"
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec5 - Exercise - Computing DT with Boolean functions using ID3
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec4: VC-dimension
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
 0
lec4 - Exercise
Avatar AHMAD KARAMI
AHMAD KARAMI
Avatar AHMAD KARAMI
AHMAD KARAMI
 0
lec4 - Exercise
Avatar AHMAD KARAMI
AHMAD KARAMI
Avatar AHMAD KARAMI
AHMAD KARAMI
 0
Lec3: Ridge regression and hypothesis spaces
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
Avatar MOHAMMADREZA REZAEI FEYZABADY
MOHAMMADREZA REZAEI FEYZABADY
 0
Lec3 Activity: Ridge Regression
Avatar DENNIS RODERMUND
DENNIS RODERMUND
Avatar DENNIS RODERMUND
DENNIS RODERMUND
 0
Lec3 - Exercise part 1
Avatar AHMAD KARAMI
AHMAD KARAMI
Avatar AHMAD KARAMI
AHMAD KARAMI
 0
Lec-8 Ex2 - "Delta rule optimization with linear/sigmoidal activation"
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
Lec-12 Preprocessing Titanic Dataset
Avatar Riccardo Cappi
Riccardo Cappi
Avatar Riccardo Cappi
Riccardo Cappi
 0
Lec 8 Exercises
Avatar AMIR SADEGHI
AMIR SADEGHI
Avatar AMIR SADEGHI
AMIR SADEGHI
 0
Lec 3 - Ex:1 "binary classification, multi-class classification and regression tasks"
Avatar Syed Fahad Hassan
Syed Fahad Hassan
Avatar Syed Fahad Hassan
Syed Fahad Hassan
 0
lec 20 - knn on movielens
Avatar MARTA GREGGIO
MARTA GREGGIO
Avatar MARTA GREGGIO
MARTA GREGGIO
 0
lec 18 - Clustering
Avatar MARTA GREGGIO
MARTA GREGGIO
Avatar MARTA GREGGIO
MARTA GREGGIO
 0
Lec 16 - Naive Bayes Text Classifier from scratch
Avatar Riccardo Cappi
Riccardo Cappi
Avatar Riccardo Cappi
Riccardo Cappi
 0
Lec 14 - Word2Vec Words Similarities
Avatar Riccardo Cappi
Riccardo Cappi
Avatar Riccardo Cappi
Riccardo Cappi
 0
Lec 13 - Bias and Variance evaluation
Avatar Riccardo Cappi
Riccardo Cappi
Avatar Riccardo Cappi
Riccardo Cappi
 0
Lec 07 Coefficient η
Avatar HOU CHENG LAM
HOU CHENG LAM
Avatar HOU CHENG LAM
HOU CHENG LAM
 0
Learning rate
Avatar Moones Mobaraki
Moones Mobaraki
Avatar Moones Mobaraki
Moones Mobaraki
 0
L9Ex2 - Hidden Layer Representation
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
Avatar FILIPPO FANTINATO
FILIPPO FANTINATO
 0
L19 - Movie Lens
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
 0
L17 - Ensemble Classifier
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
Avatar CRISTIANO PANIGHEL
CRISTIANO PANIGHEL
 0