Regression

Jordan BoydGraber 
2021 

0
+

Report 
Linear regression

Carlos FernandezGranda 
2019 

0
+

Report 
Linear Regression

Carlos FernandezGranda 
2019 

0
+

Report 
Review on Regularization for Linear Regression

Carlos FernandezGranda 
2019 

0
+

Report 
Sparse regression

Carlos FernandezGranda 
2019 

0
+

Report 
Sparse regression

Carlos FernandezGranda 
2019 

0
+

Report 
DEEP GENERATIVE MODEL

Rose Yu 
2020 

0
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Report 
Generative Models

Rose Yu 
2020 

0
+

Report 
Normalizing Flow Models

Rose Yu 
2020 

0
+

Report 
GENERATIVE ADVERSARIAL NETWORK

Rose Yu 
2020 

0
+

Report 
ENERGYBASED MODELS

Rose Yu 
2020 

0
+

Report 
EVALUATION OF GENERATIVE MODELS

Rose Yu 
2020 

0
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Report 
Backpropagation

Ryan Cotterell 
2021 

0
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Report 
Alphabeta pruning

Chelsea Finn, Nima Anari 
2021 

0
+

Report 
Classification

Chelsea Finn, Nima Anari 
2021 

0
+

Report 
Recurrences, Dynamic Programming

Chelsea Finn, Nima Anari 
2021 

0
+

Report 
Regression

Chelsea Finn, Nima Anari 
2021 

0
+

Report 
Stochastic gradient descent

Chelsea Finn, Nima Anari 
2021 

0
+

Report 
Unsupervised learning

Chelsea Finn, Nima Anari 
2021 

0
+

Report 
Bayesian Decision Theory

Kristian Kersting 
2020 

0
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Report 
Clustering and Evaluation

Kristian Kersting 
2020 

0
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Report 
Regression

Kristian Kersting 
2020 

0
+

Report 
Classification

Kristian Kersting 
2020 

0
+

Report 
Support Vector Machines

Kristian Kersting 
2020 

0
+

Report 
Kernel Regression and Gaussian Processes

Kristian Kersting 
2020 

0
+

Report 
Text Classification (I): Logistic Regression

Yangfeng Ji 
2021 

0
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Report 
Text Classification: A further discussion

Yangfeng Ji 
2021 

0
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Report 
Clustering Algorithms

Yangfeng Ji 
2021 

0
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Report 
Generative Modeling

Yangfeng Ji 
2021 

0
+

Report 
CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA)

Tim Roughgarden, Gregory Valiant 
2020 

0
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Report 
Generative Models

David Duvenaud 
2018 

0
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Report 
Generative Models II

Phillip Isola 
2018 

0
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Report 
Generative and Discriminative Learning

Gerard de Melo 
2018 

0
+

Report 
Logistic Regression

Ansaf SallebAouissi' 
2019 

0
+

Report 
SVM

Ansaf SallebAouissi' 
2019 

0
+

Report 
Supervised Learning Methods knearestneighbors(kNN) Decisiontrees(Chapter18.3) Neuralnetworks(ANN) Supportvectormachines(SVM)

Chuck Dyer' 
2019 

0
+

Report 
Multiclass Logistic Regression

David McAllester' 
2019 

0
+

Report 
Geometry and Nearest Neighbors

Furong Huang' 
2019 

0
+

Report 
Binary Classification with Linear Models

Furong Huang' 
2019 

0
+

Report 
Unsupervised Learning

John Paisley' 
2019 

0
+

Report 
Feature Expansions

John Paisley' 
2019 

0
+

Report 
Least Squares Continued

John Paisley' 
2019 

0
+

Report 
Linear Regression

John Paisley' 
2019 

0
+

Report 
Minimum L2 Regression

John Paisley' 
2019 

0
+

Report 
Soft Clustering vs Hard Clustering

John Paisley' 
2019 

0
+

Report 
Classification

John Paisley' 
2019 

0
+

Report 
kNearest Neighbors

Razvan C. Bunescu' 
2019 

0
+

Report 
The Perceptron

Razvan C. Bunescu' 
2019 

0
+

Report 
Machine Learning: Logistic Regression

Razvan C. Bunescu' 
2019 

0
+

Report 
Clustering

Ethem AlpaydÄ±n' 
2019 

0
+

Report 
Supervised Learning

Ethem AlpaydÄ±n' 
2019 

0
+

Report 
Kernel Methods

Ethem AlpaydÄ±n' 
2019 

0
+

Report 
Linear Discrimination

Ethem AlpaydÄ±n' 
2019 

0
+

Report 
Multilayer perceptrons

Ethem AlpaydÄ±n' 
2019 

0
+

Report 
Introduction to Bayesian Linear Regression, Model Comparison and Selection

Nicholas Zabaras' 
2019 

0
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Report 
Kernel Methods and Introduction to Gaussian Processes

Nicholas Zabaras' 
2019 

0
+

Report 
Bayesian Linear Regression (continued)

Nicholas Zabaras' 
2019 

0
+

Report 
Bayesian Regression

Nicholas Zabaras' 
2019 

0
+

Report 
Unsupervised learning (part1)

David Sontag' 
2019 

0
+

Report 
Hierarchical & Spectral clustering

David Sontag' 
2019 

0
+

Report 
Clustering

David Sontag' 
2019 

0
+

Report 
Support vector machines (SVMs) Lecture 3

David Sontag' 
2019 

0
+

Report 
Support Vector Machines:Introduction

Ansaf SallebAouissi' 
2019 

0
+

Report 
Support Vector Machines: Kernels

Ansaf SallebAouissi' 
2019 

0
+

Report 
Linear classification: Logistic Regression

Ansaf SallebAouissi' 
2019 

0
+

Report 
KMeans, GMMs and EM

Ansaf SallebAouissi' 
2019 

0
+

Report 
Support Vector Machines: primal, dual forms and softmargin

Ansaf SallebAouissi' 
2019 

0
+

Report 
Maximum Likelihood and Gaussian Models

Ansaf SallebAouissi' 
2019 

0
+

Report 
Naive Bayes Classifier

Ansaf SallebAouissi' 
2019 

0
+

Report 
Linear Regression, Ridge regression, and Lasso

Ansaf SallebAouissi' 
2019 

0
+

Report 
Tree Classifiers (Decision Trees)

Ansaf SallebAouissi' 
2019 

0
+

Report 
Linear Classification: Perceptron

Ansaf SallebAouissi' 
2019 

0
+

Report 
Naive Bayes: Text Classification

Ansaf SallebAouissi' 
2019 

0
+

Report 
Linear Regression, Least Squares and Gradient Descent

Ansaf SallebAouissi' 
2019 

0
+

Report 
Support vector machines (SVMs)

Matt Gormley' 
2019 

0
+

Report 
Logistic Regression, Nonlinear Features, Regularization

Matt Gormley' 
2019 

0
+

Report 
Text Classification 1

Christopher Manning' 
2019 

0
+

Report 
Language Identification and Naïve Bayes

Wei Xu 
2019 

0
+

Report 
Intro to Supervised Learning: KNN

Sebastian Raschka 
2019 

0
+

Report 
Logistic Regression and Naive Bayes

Jordan BoydGraber 
2019 

0
+

Report 
Logistic Regression and Naive Bayes

Jordan BoydGraber 
2019 

0
+

Report 
Logistic Regression and Naive Bayes

Jordan BoydGraber 
2019 

0
+

Report 
Classification and Feature Engineering

Jordan BoydGraber 
2019 

0
+

Report 
Classification and Feature Engineering

Jordan BoydGraber 
2019 

0
+

Report 
Classification and Feature Engineering

Jordan BoydGraber 
2019 

0
+

Report 
Linear Models

Roger Grosse and Jimmy Ba 
2019 

0
+

Report 
Multilayer Perceptrons

Roger Grosse and Jimmy Ba 
2019 

0
+

Report 
Kernel Methods

Mark Schmidt 
2017 

0
+

Report 
LogLinear Models

Mark Schmidt 
2017 

0
+

Report 
Multiclass Classification

Greg Durrett 
2017 

0
+

Report 
Trees

Greg Durrett 
2017 

0
+

Report 
Trees

Greg Durrett 
2017 

0
+

Report 
Logistic regression

Anna Rogers 
2019 

0
+

Report 
Linear Regression

Matus Telgarsky 
2022 

0
+

Report 
Logistic Regression

Matus Telgarsky 
2022 

0
+

Report 
Linear prediction: features, overfitting, and losses

Matus Telgarsky 
2022 

0
+

Report 
Support Vector Machine

Matus Telgarsky 
2022 

0
+

Report 
kmeans

Matus Telgarsky 
2019 

0
+

Report 
Logistic Regression and Gradient Descent

M. MagdonIsmail 
2022 

0
+

Report 
Linear text classification

Emma Strubell 
2020 

0
+

Report 
Nonlinear text classification

Emma Strubell 
2020 

0
+

Report 
Text classification

David Bamman 
2021 

0
+

Report 
Text classification

David Bamman 
2021 

0
+

Report 
Text classification

David Bamman 
2021 

0
+

Report 
Text classification

David Bamman 
2021 

0
+

Report 
Text Classification

Graham Neubig 
2021 

0
+

Report 
Classification

Alan W Black and David Mortensen 
2021 

0
+

Report 
Classification

Alan W Black and David Mortensen 
2021 

0
+

Report 
UNSUPERVISED LEARNING

Angelica Sun 
2021 

0
+

Report 
Classification and Regression

Angelica Sun 
2021 

0
+

Report 
Generative Learning Algorithms

Angelica Sun 
2021 

0
+

Report 
Kernel Methods

Angelica Sun 
2021 

0
+

Report 
Lecture #5: Generalization

Tim Roughgarden, Gregory Valiant 
2021 

0
+

Report 
Lecture #6: Regularization

Tim Roughgarden, Gregory Valiant 
2021 

0
+

Report 
Decision trees

Sanjoy Dasgupta 
2020 

0
+

Report 
Kernel methods

Sanjoy Dasgupta 
2020 

0
+

Report 
Logistic regression

Sanjoy Dasgupta 
2020 

0
+

Report 
Multiclass linear prediction

Sanjoy Dasgupta 
2020 

0
+

Report 
Nearest neighbor classification

Sanjoy Dasgupta 
2020 

0
+

Report 
A simple linear classifier

Sanjoy Dasgupta 
2020 

0
+

Report 
Random forests

Sanjoy Dasgupta 
2020 

0
+

Report 
Linear regression

Sanjoy Dasgupta 
2020 

0
+

Report 
Lecture 7: Generative Models and ExpectationMaximization

Constantinos Daskalakis 
2018 

0
+

Report 
Backprop Examples

Katherine Keith 
2020 

0
+

Report 
Lecture 11: KNN and Decision Trees

Katherine Keith 
2020 

0
+

Report 
MultiClass Classification

Katherine Keith 
2020 

0
+

Report 
KNearest Neighbors and Decision Trees

Katherine Keith 
2020 

0
+

Report 
Kernel Trick

Katherine Keith 
2020 

0
+

Report 
Support Vector Machines

Katherine Keith 
2020 

0
+

Report 
Overview of Unsupervised Learning and KMeans Clustering

Katherine Keith 
2020 

0
+

Report 
Bayesian Classification

Katherine Keith 
2020 

0
+

Report 
Linear Regression

Katherine Keith 
2020 

0
+

Report 
Gradient Descent

Katherine Keith 
2020 

0
+

Report 
Multivariate Linear Regression

Katherine Keith 
2020 

0
+

Report 
Normal equations and vectorized gradient descent

Katherine Keith 
2020 

0
+

Report 
Logistic Regression

Katherine Keith 
2020 

0
+

Report 
The Perceptron

Malik MagdonIsmail 
2020 

0
+

Report 
The Perceptron

Malik MagdonIsmail 
2020 

0
+

Report 
Linear Classification and Regression

Malik MagdonIsmail 
2020 

0
+

Report 
Linear Classification and Regression

Malik MagdonIsmail 
2020 

0
+

Report 
Logistic Regression and Gradient Descent

Malik MagdonIsmail 
2020 

0
+

Report 
Nonlinear Transforms

Malik MagdonIsmail 
2020 

0
+

Report 
Nonlinear Transforms

Malik MagdonIsmail 
2020 

0
+

Report 
Similarity and Nearest Neighbor

Malik MagdonIsmail 
2020 

0
+

Report 
Similarity and Nearest Neighbor

Malik MagdonIsmail 
2020 

0
+

Report 
Memory and Efficiency in Nearest Neighbor

Malik MagdonIsmail 
2020 

0
+

Report 
Memory and Efficiency in Nearest Neighbor

Malik MagdonIsmail 
2020 

0
+

Report 
Radial Basis Functions

Malik MagdonIsmail 
2020 

0
+

Report 
Radial Basis Functions

Malik MagdonIsmail 
2020 

0
+

Report 
A Peek At Unsupervised Learning

Malik MagdonIsmail 
2020 

0
+

Report 
A Peek At Unsupervised Learning

Malik MagdonIsmail 
2020 

0
+

Report 
Multilayer Perceptron

Malik MagdonIsmail 
2020 

0
+

Report 
Multilayer Perceptron

Malik MagdonIsmail 
2020 

0
+

Report 
Neural Networks: Backpropagation

Malik MagdonIsmail 
2020 

0
+

Report 
Neural Networks: Backpropagation

Malik MagdonIsmail 
2020 

0
+

Report 
Neural Networks and Overfitting

Malik MagdonIsmail 
2020 

0
+

Report 
Neural Networks and Overfitting

Malik MagdonIsmail 
2020 

0
+

Report 
SVM’s: Maximizing the Margin

Malik MagdonIsmail 
2020 

0
+

Report 
SVM’s: Maximizing the Margin

Malik MagdonIsmail 
2020 

0
+

Report 
The Kernel Trick

Malik MagdonIsmail 
2020 

0
+

Report 
The Kernel Trick

Malik MagdonIsmail 
2020 

0
+

Report 
Kernel Machines

Malik MagdonIsmail 
2020 

0
+

Report 
Kernel Machines

Malik MagdonIsmail 
2020 

0
+

Report 
Learning Aides

Malik MagdonIsmail 
2020 

0
+

Report 
Learning Aides

Malik MagdonIsmail 
2020 

0
+

Report 
BackPropagation: From Fully Connected to Convolutional Layers

Shuiwang Ji, Yaochen Xie 
2019 

0
+

Report 
BackPropagation: From Fully Connected to Convolutional Layers

Shuiwang Ji, Yaochen Xie 
2019 

0
+

Report 
Logistic Regression: From Binary to MultiClass

Shuiwang Ji, Yaochen Xie 
2019 

0
+

Report 
Logistic Regression: From Binary to MultiClass

Shuiwang Ji, Yaochen Xie 
2019 

0
+

Report 
A Neural Network View of Kernel Methods

Shuiwang Ji, Yaochen Xie 
2019 

0
+

Report 
Classification

Greg Durrett 
2021 

0
+

Report 
Multiclass

Greg Durrett 
2021 

0
+

Report 
Multiclass Examples

Greg Durrett 
2021 

0
+

Report 
Multiclass Classification

Greg Durrett 
2021 

0
+

Report 
Connections between Perceptron and Logistic Regression

Greg Durrett 
2021 

0
+

Report 
Linear Discriminant Functions, Perceptron

Erkut Erdem 
2021 

0
+

Report 
Multilayer Perceptron, Forward Pass

Erkut Erdem 
2021 

0
+

Report 
Support Vector Machines

Erkut Erdem 
2021 

0
+

Report 
Soft Margin Classification, Multiclass SVMs, Kernels

Erkut Erdem 
2021 

0
+

Report 
Kernel Trick for SVMs, Risk and Loss, Support Vector Regression

Erkut Erdem 
2021 

0
+

Report 
Decision Trees

Erkut Erdem 
2021 

0
+

Report 
Clustering, KMeans

Erkut Erdem 
2021 

0
+

Report 
Clustering

Erkut Erdem 
2021 

0
+

Report 
Nearest Neighbor Classifier

Erkut Erdem 
2021 

0
+

Report 
Logistic Regression, Discriminative vs. Generative Classification

Erkut Erdem 
2021 

0
+

Report 
Classification

Trevor Hastie and Robert Tibshirani 
2020 

0
+

Report 
Linear Regressioin

Trevor Hastie and Robert Tibshirani 
2020 

0
+

Report 
SVM

Trevor Hastie and Robert Tibshirani 
2020 

0
+

Report 
Treebased Methods

Trevor Hastie and Robert Tibshirani 
2020 

0
+

Report 
Unsupervised Learning

Trevor Hastie and Robert Tibshirani 
2020 

0
+

Report 
Stocastic Gradient Descent for Logistic Regression

Jordan BoydGraber 
2021 

0
+

Report 
Logistic Regression

Ansaf SallebAouissi' 
2019 

0
+

Report 
SVM

Ansaf SallebAouissi' 
2019 

0
+

Report 
Tensor Methods for Feature Learning

Anima Anandkumar 
2019 

0
+

Report 
Overview Statistical NLP'

Tom Kwiatkowski' 
2016 

0
+

Report 
Statistical NLP'

Tom Kwiatkowski' 
2016 

0
+

Report 
CS11747 Neural Networks for NLP Structured Prediction with Local Dependencies'

Graham Neubig' 
2017 

0
+

Report 
CS11747 Neural Networks for NLP Structured Prediction Basics'

Graham Neubig' 
2017 

0
+

Report 
Lecture 22: Representation Learning'

KaiWei Chang' 
2016 

0
+

Report 
Lecture 13: Structured Prediction'

KaiWei Chang' 
2016 

0
+

Report 
“Why Should I Trust You?” Explaining the Predictions of Any Classifier

Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin 
2016 

0
+

Report 
Unsupervised Learning, Representation, and Generative Models

Giorgio Patrini 
2017 

0
+

Report 
Unsupervised Learning

Giorgio Patrini 
2018 

0
+

Report 
Classification and kNN 1

Dragomir Radev 
2017 

0
+

Report 
Classification and kNN 2

Dragomir Radev 
2017 

0
+

Report 
Generative and Discriminative Models 1

Dragomir Radev 
2017 

0
+

Report 
Perceptron

Dragomir Radev 
2017 

0
+

Report 
Logistic Regression 1

Dragomir Radev 
2017 

0
+

Report 
Examples of Text Classification

Dragomir Radev 
2016 

0
+

Report 
Feature Selection

Dragomir Radev 
2017 

0
+

Report 
Evaluation of Text Classification

Dragomir Radev 
2016 

0
+

Report 
Practical Considerations of Classification

Dragomir Radev 
2016 

0
+

Report 
Learning: Support Vector Machines

Patrick Winston 
2014 

0
+

Report 
Hilbert Space Embeddings of Distributions

Eric Xing 
2014 

0
+

Report 
Word/Sentence Embeddings, Text Classification

Mohit Bansal 
2017 

0
+

Report 
Logistic Regression

Marine Carpuat 
2018 

0
+

Report 
Logistic regression, Loss Functions, Neural Networks

Marine Carpuat 
2018 

0
+

Report 
Structured Perceptron, Viterbi

Marine Carpuat 
2018 

0
+

Report 
Lossaugmented Structured Prediction

Marine Carpuat 
2018 

0
+

Report 
Multiclass Classification

Dan Roth 
2017 

0
+

Report 
Multiclass Classification

Dan Roth 
2017 

0
+

Report 
Global and Local Views

Dan Roth 
2017 

0
+

Report 
Structured Prediction Basics

Dan Roth 
2017 

0
+

Report 
SVMs

Dan Roth 
2017 

0
+

Report 
Guiding SemiSupervision with ConstraintDriven Learning

Dan Roth 
2017 

0
+

Report 
Binary classification

Greg Durrett 
2018 

0
+

Report 
Multiclass classification

Greg Durrett 
2018 

0
+

Report 
Unsupervised Learning

Greg Durrett 
2018 

0
+

Report 
The perceptron

François Fleuret 
2019 

0
+

Report 
Probabilistic view of a linear classifier

François Fleuret 
2019 

0
+

Report 
Linear separability and feature design

François Fleuret 
2019 

0
+

Report 
MultiLayer Perceptrons

François Fleuret 
2019 

0
+

Report 
Evaluation

Ralph Grishman 
2018 

0
+

Report 
Maximum Entropy Models and Feature Engineering

Ralph Grishman 
2018 

0
+

Report 
MetaLearning

Sergey Levine 
2018 

0
+

Report 
Statistical learning, kNN, linear classifiers

Svetlana Lazebnik 
2018 

0
+

Report 
Linear classifiers part I

Svetlana Lazebnik 
2018 

0
+

Report 
Linear classifiers part II

Svetlana Lazebnik 
2018 

0
+

Report 
Linear models review

Svetlana Lazebnik 
2018 

0
+

Report 
Multiclass classification

Svetlana Lazebnik 
2018 

0
+

Report 
Nearest Neighbor Methods

Sebastian Raschka 
2018 

0
+

Report 
Decision Trees

Sebastian Raschka 
2018 

0
+

Report 
Evaluation Methods

Sebastian Raschka 
2018 

0
+

Report 
Evaluation Methods

Sebastian Raschka 
2018 

0
+

Report 
Evaluation Methods

Sebastian Raschka 
2018 

0
+

Report 
Evaluation Methods

Sebastian Raschka 
2018 

0
+

Report 
Evaluation Methods

Sebastian Raschka 
2018 

0
+

Report 
Feature Selection

Sebastian Raschka 
2018 

0
+

Report 
Feature Selection

Sebastian Raschka 
2018 

0
+

Report 
Discriminative Models: MaxEnt,Perceptron

Ruihong Huang 
2017 

0
+

Report 
Semisupervised Learning for NLP

Richard Socher 
2018 

0
+

Report 
Supervised Linear Regression

Xavier Bresso 
2017 

0
+

Report 
Supervised Classification

Xavier Bresso 
2017 

0
+

Report 
Neural Nets (wrapup) and Decision Trees

Pieter Abbeel, Dan Klein 
2018 

0
+

Report 
Generative and Discriminative Learning

Vivek Srikumar 
2018 

0
+

Report 
Machine Learning (classification)

Alan Ritter 
2019 

0
+

Report 
DirichletMultinomial + Naive Bayes

Alan Ritter 
2017 

0
+

Report 
Linear Regression

Alan Ritter 
2017 

0
+

Report 
Logistic Regression

Alan Ritter 
2017 

0
+

Report 
Perceptron

Alan Ritter 
2017 

0
+

Report 
Kernel Methods

Alan Ritter 
2017 

0
+

Report 
SVMs

Alan Ritter 
2017 

0
+

Report 
Discriminant Functions

Sargur N. Srihari 
2018 

0
+

Report 
Probabilistic Generative Models

Sargur N. Srihari 
2018 

0
+

Report 
Fixed Basis Functions

Sargur N. Srihari 
2018 

0
+

Report 
Multiclass Logistic Regression

Sargur N. Srihari 
2018 

0
+

Report 
Probit Regression

Sargur N. Srihari 
2018 

0
+

Report 
Bayesian Logistic Regression

Sargur N. Srihari 
2018 

0
+

Report 
Variational Bayesian Logistic Regression

Sargur N. Srihari 
2018 

0
+

Report 
Kernel Methods

Sargur N. Srihari 
2018 

0
+

Report 
Radial Basis Function Networks

Sargur N. Srihari 
2018 

0
+

Report 
Gaussian Processes

Sargur N. Srihari 
2018 

0
+

Report 
Unsupervised Learning

Sargur N. Srihari 
2018 

0
+

Report 
Introduction to Predictive Models and kNN

Mladen Kolar and Rob McCulloch 
2015 

0
+

Report 
Classification

Mladen Kolar and Rob McCulloch 
2015 

0
+

Report 
Perceptron

Mladen Kolar and Rob McCulloch 
2015 

0
+

Report 
Logistic regression

Mladen Kolar and Rob McCulloch 
2015 

0
+

Report 
Generative Models

Justin Johnson, Serena Yeung, FeiFei Li 
2019 

0
+

Report 
Support vector machines (SVMs).

Mehryar Mohri 
2018 

0
+

Report 
Kernel methods

Mehryar Mohri 
2018 

0
+

Report 
Multiclass classification

Mehryar Mohri 
2018 

0
+

Report 
Regression

Mehryar Mohri 
2018 

0
+

Report 
Overview of Linguistics

Nathan Schneider 
2019 

0
+

Report 
Classification: naïve Bayes; Noisy Channel Model

Nathan Schneider 
2019 

0
+

Report 
Linear models for classification: features, weights

Nathan Schneider 
2019 

0
+

Report 
Linear models for classification: discriminative learning (perceptron, SVMs, MaxEnt)

Nathan Schneider 
2019 

0
+

Report 
Linear Models 1

Peter Bloem 
2019 

0
+

Report 
Linear Models 2

Peter Bloem 
2019 

0
+

Report 
Perceptrons

Graham Neubig 
2015 

0
+

Report 
Advanced discriminative models

Graham Neubig 
2015 

0
+

Report 
The structured perceptron

Graham Neubig 
2015 

0
+

Report 
Shallow NLP: Naive Bayes and MaxEnt for text classification

Alex Lascarides, Shay Cohen 
2019 

0
+

Report 
Generative and Discriminative Models 1

Dragomir Radev 
2018 

0
+

Report 
Clustering 1

Dragomir Radev 
2018 

0
+

Report 
Examples of Text Classification

Dragomir Radev 
2018 

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Report 
Introduction to Support Vector Machines and Kernels

Dragomir Radev 
2018 

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Practical Considerations of Classification

Dragomir Radev 
2018 

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Report 
Classification and kNN 1

Dragomir Radev 
2018 

0
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Report 
Logistic Regression 1

Dragomir Radev 
2018 

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Report 
Perceptron

Dragomir Radev 
2018 

0
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Report 
Classification and kNN 2

Dragomir Radev 
2018 

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Report 
Feature Selection

Dragomir Radev 
2018 

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Report 
Evaluation of Text Classification

Dragomir Radev 
2018 

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Report 
Unsupervised Learning

George Konidaris 
2016 

0
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Report 
Kernels and Clustering

Dan Klein and Pieter Abbeel 
2014 

0
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Report 
Bayes Nets

Dan Klein and Pieter Abbeel 
2014 

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Report 
Constraint Satisfaction Problems II

Dan Klein and Pieter Abbeel 
2014 

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Perceptrons

Dan Klein and Pieter Abbeel 
2014 

0
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Report 
Supervised Learning Methods knearestneighbors(kNN) Decisiontrees(Chapter18.3) Neuralnetworks(ANN) Supportvectormachines(SVM)

Chuck Dyer 
2018 

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Report 
Supervised Learning Methods knearestneighbors (kNN) Decision trees Support vector machines (SVM) Neural networks

Chuck Dyer 
2018 

0
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Report 
Multiclass Logistic Regression

David McAllester 
2017 

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Geometry and Nearest Neighbors

Furong Huang 
2018 

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The Perceptron

Furong Huang 
2018 

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KMeans Clustering (Unsupervised Learning)

Furong Huang 
2018 

0
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The Perceptron

Furong Huang 
2018 

0
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Multiclass Classification and Reductions

Furong Huang 
2018 

0
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Binary Classification with Linear Models

Furong Huang 
2018 

0
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Report 
Unsupervised Learning

John Paisley 
2017 

0
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Maximum Margin Classifiers

John Paisley 
2017 

0
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Feature Expansions

John Paisley 
2017 

0
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Linear Classification

John Paisley 
2017 

0
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Least Squares Continued

John Paisley 
2017 

0
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Linear Regression

John Paisley 
2017 

0
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Report 
Minimum L2 Regression

John Paisley 
2017 

0
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Report 
Soft Clustering vs Hard Clustering

John Paisley 
2017 

0
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Classification

John Paisley 
2017 

0
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Report 
kNearest Neighbors

Razvan C. Bunescu 
2017 

0
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The Perceptron

Razvan C. Bunescu 
2017 

0
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Report 
Machine Learning: Logistic Regression

Razvan C. Bunescu 
2017 

0
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Report 
Clustering

Ethem AlpaydÄ±n 
2014 

0
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Report 
Supervised Learning

Ethem AlpaydÄ±n 
2014 

0
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Report 
Kernel Methods

Ethem AlpaydÄ±n 
2014 

0
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Linear Discrimination

Ethem AlpaydÄ±n 
2014 

0
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Report 
Multilayer perceptrons

Ethem AlpaydÄ±n 
2014 

0
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Report 
Introduction to Bayesian Linear Regression, Model Comparison and Selection

Nicholas Zabaras 
2017 

0
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Report 
Kernel Methods and Introduction to Gaussian Processes

Nicholas Zabaras 
2017 

0
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Report 
Gaussian Processes for Classification Problems, Course Summary

Nicholas Zabaras 
2017 

0
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Report 
Bayesian Linear Regression (continued)

Nicholas Zabaras 
2017 

0
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Report 
Bayesian Regression

Nicholas Zabaras 
2017 

0
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Report 
Unsupervised learning (part1)

David Sontag 
2016 

0
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Report 
Hierarchical & Spectral clustering

David Sontag 
2016 

0
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Clustering

David Sontag 
2016 

0
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Report 
Support vector machines (SVMs) Lecture 3

David Sontag 
2016 

0
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Report 
Support vector machines (SVMs)

David Sontag 
2016 

0
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Report 
Support vector machines (SVMs)

David Sontag 
2016 

0
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Report 
Support vector machines (SVMs)

David Sontag 
2016 

0
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Report 
Mixture Modeling

Roger Grosse 
2018 

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Gaussian Naive Bayes

Matt Gormley 
2016 

0
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Machine Learning in Practice + kNearest Neighbors

Matt Gormley 
2016 

0
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KMeans and GMMs

Matt Gormley 
2016 

0
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kNearest Neighbors

Matt Gormley 
2016 

0
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Report 
Clustering(KMeans)

Matt Gormley 
2016 

0
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Report 
Naive Bayes

Tom M. Mitchell 
2015 

0
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Report 
Support Vector Machines (SVMs)

MariaFlorina Balcan 
2015 

0
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Report 
SemiSupervised Learning

MariaFlorina Balcan 
2015 

0
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Report 
Math Review and Decision Trees

MariaFlorina Balcan 
2015 

0
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Report 
Naive Bayes

Tom M. Mitchell 
2015 

0
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Clustering. Unsupervised Learning

MariaFlorina Balcan 
2015 

0
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Report 
Logistic regression and Generative/Discriminative classifiers

Tom M. Mitchell 
2015 

0
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Report 
Linear regression

Tom M. Mitchell 
2015 

0
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Report 
Kernels Methods in Machine Learning

MariaFlorina Balcan 
2015 

0
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Report 
10601 Machine Learning MariaFlorina Balcan

MariaFlorina Balcan 
2015 

0
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Decision Trees

Tom M. Mitchell 
2015 

0
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Report 
Linear regression

Tom M. Mitchell 
2015 

0
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Report 
Logistic regression and Generative/Discriminative classifiers

Tom M. Mitchell 
2015 

0
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Report 
Decision Trees

Dan Roth 
2018 

0
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Report 
Perceptron

Dan Roth 
2018 

0
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Report 
Support Vector Machines

Dan Roth 
2018 

0
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Report 
Classification with Scattering

Joan Bruna 
2016 

0
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Seperable Scattering Operators

Joan Bruna 
2016 

0
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Report 
Latent Graphical Models

Joan Bruna 
2016 

0
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Report 
Transformation Groups

Joan Bruna 
2016 

0
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Report 
Random Forests

Joan Bruna 
2016 

0
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Report 
Local invariants and convolution

Joan Bruna 
2016 

0
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Report 
Classification, kernels and metrics

Joan Bruna 
2016 

0
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Report 
Text Classification 1

Christopher Manning 
2017 

0
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Report 
SVMs

Christopher Manning 
2017 

0
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Report 
SVMs

Christopher Manning 
2017 

0
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Report 
Hierarchical Clustering

Hinrich Sch¨utze 
2014 

0
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Report 
Flat Clustering

Hinrich Sch¨utze 
2014 

0
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Report 
Vector Space Classification

Hinrich Sch¨utze 
2014 

0
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Report 
Recap Clustering: Introduction

Hinrich Sch¨utze 
2014 

0
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Report 
Support Vector Machines

Hinrich Sch¨utze 
2014 

0
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Report 
Text Classification & Naive Bayes

Hinrich Sch¨utze 
2014 

0
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Report 
Discriminative Training part 2

Chris CallisonBurch 
1155 

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Report 
Discriminative Training

Chris CallisonBurch 
1155 

0
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MultiClass Classification

KaiWei Chang 
2017 

0
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Report 
Structured Prediction Models

KaiWei Chang 
2017 

0
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Binary Classification

KaiWei Chang 
2017 

0
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LogLinear Models

Michael Collins, 
2018 

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Report 
Log Linear Models

Yejin Choi 
2018 

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Probability Distributions on Structured Objects

Chris Dyer 
2015 

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Structured Prediction for Language and Other Discrete Data

Chris Dyer 
2015 

0
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Report 
Learning Generative Models

Chris Dyer 
2015 

0
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Structure and Support Vector Machines

Chris Dyer 
2015 

0
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Classification

David Bamman 
2017 

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Report 
Classification 2

David Bamman 
2017 

0
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Report 
Classification 3

David Bamman 
2017 

0
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Report 
Features and hypothesis tests

David Bamman 
2017 

0
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Report 
Discriminative Sequence

Nathan Schneider 
2018 

0
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Report 
Linear Models for Classication: Features & Weights

Nathan Schneider 
2018 

0
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Report 
Linear Models for Classication: Discriminative Learning (Perceptron, SVMs, MaxEnt)

Nathan Schneider 
2018 

0
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Report 
Classification

Brendan O?Connor 
2015 

0
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Report 
Logistic Regression

Brendan O?Connor 
2015 

0
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Report 
Loglinear models and CRFs

Brendan O?Connor 
2015 

0
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Report 
CRF and Structured Perceptron

Brendan O?Connor 
2015 

0
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Report 
Text Classification & Linear Models

Marine Carpuat 
2017 

0
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Report 
Logistic Regression & Neural Networks

Marine Carpuat 
2017 

0
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Report 
Naïve Bayes,Perceptron

Jacob Eisenstein 
2014 

0
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Report 
Classication key concepts

Jacob Eisenstein 
2014 

0
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Report 
SemiSupervised Learning 1

Jacob Eisenstein 
2014 

0
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Natural Language Processing: Classification I

Dan Klein 
2014 

0
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Natural Language Processing Classification II

Dan Klein 
2014 

0
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Natural Language Processing Classification III

Dan Klein 
2014 

0
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Lecture 1: Introduction

Julia Hockenmaier 
2013 

0
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Indian Buffet Process

Julia Hockenmaier 
2013 

0
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Text Classification

Yoav Artzi 
2018 

0
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Report 
Classification & Information Theory Lecture #8

Andrew McCallum 
2007 

0
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Featurebased Discriminative Models More Sequence Models

Yoav Goldberg 
2018 

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Text Classification Contd + Document Representations

Sameer Singh 
2017 

0
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Text Classification 1

Sameer Singh 
2017 

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Lecture 15: Structured Prediction

Kevin Gimpel 
2017 

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Lecture 16: Structured Prediction in NLP, Syntactic & Semantic Formalisms

Kevin Gimpel 
2017 

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Text Clustering

Raymond J. Mooney 
2017 

0
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Text Categorization

Raymond J. Mooney 
2017 

0
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Empirical Methods in Natural Language Processing Lecture 12

Philipp Koehn 
2008 

0
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Lecture 8: Inference in Structured Prediction

Kevin Gimpel 
2016 

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Lecture 2: Text Classification

Kevin Gimpel 
2016 

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Natural Language Processing (CSEP 517): Text Classication

Noah Smith 
2017 

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CS11747 Neural Networks for NLP A Simple (?) Exercise:Predicting the Next Word

Graham Neubig 
2017 

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Text Classification and Nave Bayes The Task of Text Classification

Dan Jurafsky 
2017 

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Report 
INFORMATION EXTRACTION

Trevor Cohn 
2018 

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Report 
TEXT CLASSIFICATION

Trevor Cohn 
2018 

0
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Report 
SemiSupervised Learning

Jacob Eisenstein 
2017 

0
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Report 
EncoderDecoder Neural Networks

Nal Kalchbrenner 
2017 

0
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Report 
Mathematics for Machine Learning: Classification with Support Vector Machines

Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong 
2018 

0
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Report 
VIP Cheatsheet: Supervised Learning

Afshine Amidi and Shervine Amidi 
2018 

0
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Report 
VIP Cheatsheet: Unsupervised Learning

Afshine Amidi and Shervine Amidi 
2018 

0
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