AAN: 5. Classification

ID	Topic Name
51	Introduction to Classification
52	Support Vector Machines and Kernels
54	Text Classification and Feature Selection
57	Clustering
58	Semi-supervised Learning

Title (link)	Lecturer	Date	Votes	Error
Learning: Support Vector Machines	Patrick Winston	2014	- 0 +	Report

Title (link)	Lecturer	Date	Votes	Error
Support Vector Machines: primal, dual forms and soft-margin	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Bayesian Linear Regression (continued)	Nicholas Zabaras'	2019	- 0 +	Report
The Perceptron	Razvan C. Bunescu'	2019	- 0 +	Report
Multi-Class Classification	Kai-Wei Chang	2017	- 0 +	Report
Structured Prediction for Language and Other Discrete Data	Chris Dyer	2015	- 0 +	Report
Logistic Regression and Naive Bayes	Jordan Boyd-Graber	2019	- 0 +	Report
Linear Models	Roger Grosse and Jimmy Ba	2019	- 0 +	Report
Probabilistic Generative Models	Sargur N. Srihari	2018	- 0 +	Report
Nearest Neighbor Methods	Sebastian Raschka	2018	- 0 +	Report
Classification	Brendan O?Connor	2015	- 0 +	Report
Classification	John Paisley'	2019	- 0 +	Report
Support Vector Machines	Hinrich Sch¨utze	2014	- 0 +	Report
Multiclass Logistic Regression	Sargur N. Srihari	2018	- 0 +	Report
Naïve Bayes,Perceptron	Jacob Eisenstein	2014	- 0 +	Report
Bayes Nets	Dan Klein and Pieter Abbeel	2014	- 0 +	Report
Text Classification & Naive Bayes	Hinrich Sch¨utze	2014	- 0 +	Report
Mixture Modeling	Roger Grosse	2018	- 0 +	Report
Binary classification	Greg Durrett	2018	- 0 +	Report
Multiclass Classification and Reductions	Furong Huang	2018	- 0 +	Report
Multi-class classification	Svetlana Lazebnik	2018	- 0 +	Report
Logistic regression, Loss Functions, Neural Networks	Marine Carpuat	2018	- 0 +	Report
Logistic Regression 1	Dragomir Radev	2017	- 0 +	Report
Natural Language Processing: Classification I	Dan Klein	2014	- 0 +	Report
Clustering	David Sontag	2016	- 0 +	Report
Loss-augmented Structured Prediction	Marine Carpuat	2018	- 0 +	Report
Kernels and Clustering	Dan Klein and Pieter Abbeel	2014	- 0 +	Report
CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA)	Tim Roughgarden, Gregory Valiant	2020	- 0 +	Report
Least Squares Continued	John Paisley	2017	- 0 +	Report
Feature Expansions	John Paisley	2017	- 0 +	Report
Introduction to Support Vector Machines and Kernels	Dragomir Radev	2018	- 0 +	Report
SVMs	Dan Roth	2017	- 0 +	Report
Naive Bayes	Tom M. Mitchell	2015	- 0 +	Report
Logistic regression	Mladen Kolar and Rob McCulloch	2015	- 0 +	Report
The perceptron	François Fleuret	2019	- 0 +	Report
Discriminative Training part 2	Chris Callison-Burch	1155	- 0 +	Report
Perceptron	Mladen Kolar and Rob McCulloch	2015	- 0 +	Report
k-Nearest Neighbors	Razvan C. Bunescu	2017	- 0 +	Report
Text Classification 1	Christopher Manning'	2019	- 0 +	Report
Overview of Linguistics	Nathan Schneider	2019	- 0 +	Report
Lecture 2: Text Classification	Kevin Gimpel	2016	- 0 +	Report
Soft Clustering vs Hard Clustering	John Paisley'	2019	- 0 +	Report
Flat Clustering	Hinrich Sch¨utze	2014	- 0 +	Report
Linear Classification: Perceptron	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Kernel Methods and Introduction to Gaussian Processes	Nicholas Zabaras	2017	- 0 +	Report
Generative Models	David Duvenaud	2018	- 0 +	Report
Multi-class Classification	Greg Durrett	2017	- 0 +	Report
Unsupervised learning (part1)	David Sontag'	2019	- 0 +	Report
Support vector machines (SVMs)	David Sontag	2016	- 0 +	Report
The Perceptron	Razvan C. Bunescu	2017	- 0 +	Report
Support Vector Machines:Introduction	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Unsupervised Learning	George Konidaris	2016	- 0 +	Report
Evaluation Methods	Sebastian Raschka	2018	- 0 +	Report
Random Forests	Joan Bruna	2016	- 0 +	Report
Support vector machines (SVMs).	Mehryar Mohri	2018	- 0 +	Report
Least Squares Continued	John Paisley'	2019	- 0 +	Report
Kernel Methods	Ethem AlpaydÄ±n'	2019	- 0 +	Report
Kernel Methods and Introduction to Gaussian Processes	Nicholas Zabaras'	2019	- 0 +	Report
Classification, kernels and metrics	Joan Bruna	2016	- 0 +	Report
Probability Distributions on Structured Objects	Chris Dyer	2015	- 0 +	Report
Logistic Regression and Naive Bayes	Jordan Boyd-Graber	2019	- 0 +	Report
Linear Models 2	Peter Bloem	2019	- 0 +	Report
Discriminant Functions	Sargur N. Srihari	2018	- 0 +	Report
Statistical learning, kNN, linear classifiers	Svetlana Lazebnik	2018	- 0 +	Report
Unsupervised learning (part1)	David Sontag	2016	- 0 +	Report
Linear Models for Classication: Features & Weights	Nathan Schneider	2018	- 0 +	Report
Overview Statistical NLP'	Tom Kwiatkowski'	2016	- 0 +	Report
Binary Classification with Linear Models	Furong Huang'	2019	- 0 +	Report
SVMs	Christopher Manning	2017	- 0 +	Report
Feature Selection	Sebastian Raschka	2018	- 0 +	Report
Mathematics for Machine Learning: Classification with Support Vector Machines	Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong	2018	- 0 +	Report
Logistic Regression	Alan Ritter	2017	- 0 +	Report
CRF and Structured Perceptron	Brendan O?Connor	2015	- 0 +	Report
Generative and Discriminative Models 1	Dragomir Radev	2018	- 0 +	Report
Vector Space Classification	Hinrich Sch¨utze	2014	- 0 +	Report
Practical Considerations of Classification	Dragomir Radev	2018	- 0 +	Report
Global and Local Views	Dan Roth	2017	- 0 +	Report
Maximum Likelihood and Gaussian Models	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Linear classifiers part II	Svetlana Lazebnik	2018	- 0 +	Report
Logistic Regression	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Classification 3	David Bamman	2017	- 0 +	Report
Hierarchical & Spectral clustering	David Sontag	2016	- 0 +	Report
Clustering 1	Dragomir Radev	2018	- 0 +	Report
Multiclass Logistic Regression	David McAllester	2017	- 0 +	Report
VIP Cheatsheet: Supervised Learning	Afshine Amidi and Shervine Amidi	2018	- 0 +	Report
Feature Selection	Dragomir Radev	2018	- 0 +	Report
Perceptron	Dragomir Radev	2017	- 0 +	Report
Generative and Discriminative Models 1	Dragomir Radev	2017	- 0 +	Report
Evaluation of Text Classification	Dragomir Radev	2016	- 0 +	Report
Supervised Learning	Ethem AlpaydÄ±n	2014	- 0 +	Report
Gaussian Processes	Sargur N. Srihari	2018	- 0 +	Report
Structured Perceptron, Viterbi	Marine Carpuat	2018	- 0 +	Report
Logistic regression and Generative/Discriminative classifiers	Tom M. Mitchell	2015	- 0 +	Report
Geometry and Nearest Neighbors	Furong Huang	2018	- 0 +	Report
Text Classification and Nave Bayes The Task of Text Classification	Dan Jurafsky	2017	- 0 +	Report
Classification	John Paisley	2017	- 0 +	Report
Machine Learning (classification)	Alan Ritter	2019	- 0 +	Report
Multi-class classification	Mehryar Mohri	2018	- 0 +	Report
Log-linear models and CRFs	Brendan O?Connor	2015	- 0 +	Report
Text Categorization	Raymond J. Mooney	2017	- 0 +	Report
Clustering(K-Means)	Matt Gormley	2016	- 0 +	Report
Tree Classifiers (Decision Trees)	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Introduction to Bayesian Linear Regression, Model Comparison and Selection	Nicholas Zabaras	2017	- 0 +	Report
Intro to Supervised Learning: KNN	Sebastian Raschka	2019	- 0 +	Report
Support vector machines (SVMs) Lecture 3	David Sontag	2016	- 0 +	Report
Indian Buffet Process	Julia Hockenmaier	2013	- 0 +	Report
Linear Models for Classication: Discriminative Learning (Perceptron, SVMs, MaxEnt)	Nathan Schneider	2018	- 0 +	Report
INFORMATION EXTRACTION	Trevor Cohn	2018	- 0 +	Report
The Perceptron	Furong Huang	2018	- 0 +	Report
Support vector machines (SVMs) Lecture 3	David Sontag'	2019	- 0 +	Report
Evaluation Methods	Sebastian Raschka	2018	- 0 +	Report
Seperable Scattering Operators	Joan Bruna	2016	- 0 +	Report
Kernel Methods	Sargur N. Srihari	2018	- 0 +	Report
Multiclass Logistic Regression	David McAllester'	2019	- 0 +	Report
Perceptron	Alan Ritter	2017	- 0 +	Report
SVM	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Introduction to Bayesian Linear Regression, Model Comparison and Selection	Nicholas Zabaras'	2019	- 0 +	Report
Linear regression	Tom M. Mitchell	2015	- 0 +	Report
Structured Prediction Models	Kai-Wei Chang	2017	- 0 +	Report
Logistic Regression and Naive Bayes	Jordan Boyd-Graber	2019	- 0 +	Report
Linear Models 1	Peter Bloem	2019	- 0 +	Report
K-Means, GMMs and EM	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Classification with Scattering	Joan Bruna	2016	- 0 +	Report
Logistic Regression & Neural Networks	Marine Carpuat	2017	- 0 +	Report
Naive Bayes: Text Classification	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Geometry and Nearest Neighbors	Furong Huang'	2019	- 0 +	Report
Classification and kNN 1	Dragomir Radev	2017	- 0 +	Report
SVMs	Christopher Manning	2017	- 0 +	Report
Feature Selection	Sebastian Raschka	2018	- 0 +	Report
Perceptron	Dan Roth	2018	- 0 +	Report
Text Classification 1	Christopher Manning	2017	- 0 +	Report
Practical Considerations of Classification	Dragomir Radev	2016	- 0 +	Report
Multiclass Classification	Dan Roth	2017	- 0 +	Report
Linear classifiers part I	Svetlana Lazebnik	2018	- 0 +	Report
Logistic Regression, Nonlinear Features, Regularization	Matt Gormley'	2019	- 0 +	Report
Classification 2	David Bamman	2017	- 0 +	Report
Clustering	Ethem AlpaydÄ±n	2014	- 0 +	Report
Lecture 8: Inference in Structured Prediction	Kevin Gimpel	2016	- 0 +	Report
Classification and Feature Engineering	Jordan Boyd-Graber	2019	- 0 +	Report
Logistic Regression 1	Dragomir Radev	2018	- 0 +	Report
Feature Selection	Dragomir Radev	2017	- 0 +	Report
Advanced discriminative models	Graham Neubig	2015	- 0 +	Report
Classification and kNN 2	Dragomir Radev	2018	- 0 +	Report
Lecture 22: Representation Learning'	Kai-Wei Chang'	2016	- 0 +	Report
Variational Bayesian Logistic Regression	Sargur N. Srihari	2018	- 0 +	Report
Logistic regression and Generative/Discriminative classifiers	Tom M. Mitchell	2015	- 0 +	Report
Supervised Learning Methods k-nearest-neighbors (k-NN) Decision trees Support vector machines (SVM) Neural networks	Chuck Dyer	2018	- 0 +	Report
Feature-based Discriminative Models More Sequence Models	Yoav Goldberg	2018	- 0 +	Report
Linear Classification	John Paisley	2017	- 0 +	Report
Word/Sentence Embeddings, Text Classification	Mohit Bansal	2017	- 0 +	Report
Linear Regression	Alan Ritter	2017	- 0 +	Report
Log Linear Models	Yejin Choi	2018	- 0 +	Report
Text Classification 1	Sameer Singh	2017	- 0 +	Report
K-Means and GMMs	Matt Gormley	2016	- 0 +	Report
Linear Regression, Ridge regression, and Lasso	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Machine Learning: Logistic Regression	Razvan C. Bunescu	2017	- 0 +	Report
Classification	Mladen Kolar and Rob McCulloch	2015	- 0 +	Report
Hierarchical Clustering	Hinrich Sch¨utze	2014	- 0 +	Report
Features and hypothesis tests	David Bamman	2017	- 0 +	Report
Support vector machines (SVMs)	David Sontag	2016	- 0 +	Report
The Perceptron	Furong Huang	2018	- 0 +	Report
Evaluation	Ralph Grishman	2018	- 0 +	Report
Decision Trees	Dan Roth	2018	- 0 +	Report
Kernel Methods	Alan Ritter	2017	- 0 +	Report
Logistic Regression	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Machine Learning: Logistic Regression	Razvan C. Bunescu'	2019	- 0 +	Report
Multilayer Perceptrons	Roger Grosse and Jimmy Ba	2019	- 0 +	Report
Linear regression	Tom M. Mitchell	2015	- 0 +	Report
Latent Graphical Models	Joan Bruna	2016	- 0 +	Report
Language Identification and Naïve Bayes	Wei Xu	2019	- 0 +	Report
Linear models for classification: discriminative learning (perceptron, SVMs, MaxEnt)	Nathan Schneider	2019	- 0 +	Report
TEXT CLASSIFICATION	Trevor Cohn	2018	- 0 +	Report
Clustering	David Sontag'	2019	- 0 +	Report
Lecture 13: Structured Prediction'	Kai-Wei Chang'	2016	- 0 +	Report
Logistic Regression	Brendan O?Connor	2015	- 0 +	Report
Linear Discrimination	Ethem AlpaydÄ±n'	2019	- 0 +	Report
Supervised Learning Methods k-nearest-neighbors(k-NN) Decisiontrees(Chapter18.3) Neuralnetworks(ANN) Supportvectormachines(SVM)	Chuck Dyer'	2019	- 0 +	Report
Support Vector Machines	Dan Roth	2018	- 0 +	Report
Maximum Entropy Models and Feature Engineering	Ralph Grishman	2018	- 0 +	Report
Supervised Linear Regression	Xavier Bresso	2017	- 0 +	Report
10-601 Machine Learning Maria-Florina Balcan	Maria-Florina Balcan	2015	- 0 +	Report
Semi-Supervised Learning 1	Jacob Eisenstein	2014	- 0 +	Report
Evaluation Methods	Sebastian Raschka	2018	- 0 +	Report
Multiclass Classification	Dan Roth	2017	- 0 +	Report
Classification & Information Theory Lecture #8	Andrew McCallum	2007	- 0 +	Report
Probabilistic view of a linear classifier	François Fleuret	2019	- 0 +	Report
Examples of Text Classification	Dragomir Radev	2016	- 0 +	Report
Linear classification: Logistic Regression	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Classification	David Bamman	2017	- 0 +	Report
Soft Clustering vs Hard Clustering	John Paisley	2017	- 0 +	Report
Lecture 16: Structured Prediction in NLP, Syntactic & Semantic Formalisms	Kevin Gimpel	2017	- 0 +	Report
Classification and Feature Engineering	Jordan Boyd-Graber	2019	- 0 +	Report
Generative Models	Justin Johnson, Serena Yeung, Fei-Fei Li	2019	- 0 +	Report
Semi-supervised Learning for NLP	Richard Socher	2018	- 0 +	Report
Classification and kNN 2	Dragomir Radev	2017	- 0 +	Report
Tensor Methods for Feature Learning	Anima Anandkumar	2019	- 0 +	Report
Bayesian Logistic Regression	Sargur N. Srihari	2018	- 0 +	Report
Natural Language Processing Classification III	Dan Klein	2014	- 0 +	Report
Gaussian Naive Bayes	Matt Gormley	2016	- 0 +	Report
Supervised Learning Methods k-nearest-neighbors(k-NN) Decisiontrees(Chapter18.3) Neuralnetworks(ANN) Supportvectormachines(SVM)	Chuck Dyer	2018	- 0 +	Report
Maximum Margin Classifiers	John Paisley	2017	- 0 +	Report
Unsupervised Learning	Greg Durrett	2018	- 0 +	Report
Dirichlet-Multinomial + Naive Bayes	Alan Ritter	2017	- 0 +	Report
Examples of Text Classification	Dragomir Radev	2018	- 0 +	Report
Log-Linear Models	Michael Collins,	2018	- 0 +	Report
Text Classification Contd + Document Representations	Sameer Singh	2017	- 0 +	Report
Recap Clustering: Introduction	Hinrich Sch¨utze	2014	- 0 +	Report
Meta-Learning	Sergey Levine	2018	- 0 +	Report
K-Means Clustering (Unsupervised Learning)	Furong Huang	2018	- 0 +	Report
Naive Bayes Classifier	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Minimum L2 Regression	John Paisley	2017	- 0 +	Report
Introduction to Predictive Models and kNN	Mladen Kolar and Rob McCulloch	2015	- 0 +	Report
Machine Learning in Practice + k-Nearest Neighbors	Matt Gormley	2016	- 0 +	Report
Local invariants and convolution	Joan Bruna	2016	- 0 +	Report
Gaussian Processes for Classification Problems, Course Summary	Nicholas Zabaras	2017	- 0 +	Report
Perceptron	Dragomir Radev	2018	- 0 +	Report
Perceptrons	Dan Klein and Pieter Abbeel	2014	- 0 +	Report
Radial Basis Function Networks	Sargur N. Srihari	2018	- 0 +	Report
Lecture 1: Introduction	Julia Hockenmaier	2013	- 0 +	Report
Decision Trees	Tom M. Mitchell	2015	- 0 +	Report
Discriminative Models: MaxEnt,Perceptron	Ruihong Huang	2017	- 0 +	Report
Discriminative Sequence	Nathan Schneider	2018	- 0 +	Report
The structured perceptron	Graham Neubig	2015	- 0 +	Report
Math Review and Decision Trees	Maria-Florina Balcan	2015	- 0 +	Report
Unsupervised Learning	John Paisley'	2019	- 0 +	Report
Shallow NLP: Naive Bayes and MaxEnt for text classification	Alex Lascarides, Shay Cohen	2019	- 0 +	Report
Linear models for classification: features, weights	Nathan Schneider	2019	- 0 +	Report
CS11-747 Neural Networks for NLP A Simple (?) Exercise:Predicting the Next Word	Graham Neubig	2017	- 0 +	Report
Hierarchical & Spectral clustering	David Sontag'	2019	- 0 +	Report
CS11-747 Neural Networks for NLP Structured Prediction Basics'	Graham Neubig'	2017	- 0 +	Report
Empirical Methods in Natural Language Processing Lecture 12	Philipp Koehn	2008	- 0 +	Report
“Why Should I Trust You?” Explaining the Predictions of Any Classifier	Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin	2016	- 0 +	Report
Bayesian Regression	Nicholas Zabaras	2017	- 0 +	Report
Generative and Discriminative Learning	Gerard de Melo	2018	- 0 +	Report
Trees	Greg Durrett	2017	- 0 +	Report
Support Vector Machines (SVMs)	Maria-Florina Balcan	2015	- 0 +	Report
Linear separability and feature design	François Fleuret	2019	- 0 +	Report
Logistic Regression	Marine Carpuat	2018	- 0 +	Report
Kernels Methods in Machine Learning	Maria-Florina Balcan	2015	- 0 +	Report
Support vector machines (SVMs)	Matt Gormley'	2019	- 0 +	Report
Semi-Supervised Learning	Maria-Florina Balcan	2015	- 0 +	Report
Evaluation Methods	Sebastian Raschka	2018	- 0 +	Report
Kernel Methods	Mark Schmidt	2017	- 0 +	Report
Minimum L2 Regression	John Paisley'	2019	- 0 +	Report
Multiclass classification	Greg Durrett	2018	- 0 +	Report
SVM	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Bayesian Regression	Nicholas Zabaras'	2019	- 0 +	Report
Multi-layer perceptrons	Ethem AlpaydÄ±n'	2019	- 0 +	Report
Encoder-Decoder Neural Networks	Nal Kalchbrenner	2017	- 0 +	Report
Binary Classification	Kai-Wei Chang	2017	- 0 +	Report
Lecture 15: Structured Prediction	Kevin Gimpel	2017	- 0 +	Report
Classification and Feature Engineering	Jordan Boyd-Graber	2019	- 0 +	Report
Log-Linear Models	Mark Schmidt	2017	- 0 +	Report
Fixed Basis Functions	Sargur N. Srihari	2018	- 0 +	Report
Decision Trees	Sebastian Raschka	2018	- 0 +	Report
Guiding Semi-Supervision with Constraint-Driven Learning	Dan Roth	2017	- 0 +	Report
VIP Cheatsheet: Unsupervised Learning	Afshine Amidi and Shervine Amidi	2018	- 0 +	Report
Classication key concepts	Jacob Eisenstein	2014	- 0 +	Report
k-Nearest Neighbors	Razvan C. Bunescu'	2019	- 0 +	Report
Structure and Support Vector Machines	Chris Dyer	2015	- 0 +	Report
Feature Expansions	John Paisley'	2019	- 0 +	Report
Hilbert Space Embeddings of Distributions	Eric Xing	2014	- 0 +	Report
Probit Regression	Sargur N. Srihari	2018	- 0 +	Report
Natural Language Processing Classification II	Dan Klein	2014	- 0 +	Report
Linear Discrimination	Ethem AlpaydÄ±n	2014	- 0 +	Report
Classification and kNN 1	Dragomir Radev	2018	- 0 +	Report
Text Classification & Linear Models	Marine Carpuat	2017	- 0 +	Report
Learning Generative Models	Chris Dyer	2015	- 0 +	Report
Binary Classification with Linear Models	Furong Huang	2018	- 0 +	Report
Semi-Supervised Learning	Jacob Eisenstein	2017	- 0 +	Report
Supervised Classification	Xavier Bresso	2017	- 0 +	Report
Text Classification	Yoav Artzi	2018	- 0 +	Report
Clustering. Unsupervised Learning	Maria-Florina Balcan	2015	- 0 +	Report
Structured Prediction Basics	Dan Roth	2017	- 0 +	Report
Constraint Satisfaction Problems II	Dan Klein and Pieter Abbeel	2014	- 0 +	Report
Supervised Learning	Ethem AlpaydÄ±n'	2019	- 0 +	Report
Linear Regression	John Paisley	2017	- 0 +	Report
Unsupervised Learning	Sargur N. Srihari	2018	- 0 +	Report
Statistical NLP'	Tom Kwiatkowski'	2016	- 0 +	Report
Transformation Groups	Joan Bruna	2016	- 0 +	Report
Kernel Methods	Ethem AlpaydÄ±n	2014	- 0 +	Report
SVMs	Alan Ritter	2017	- 0 +	Report
Evaluation of Text Classification	Dragomir Radev	2018	- 0 +	Report
Naive Bayes	Tom M. Mitchell	2015	- 0 +	Report
Regression	Mehryar Mohri	2018	- 0 +	Report
Multi-Layer Perceptrons	François Fleuret	2019	- 0 +	Report
Discriminative Training	Chris Callison-Burch	1155	- 0 +	Report
Perceptrons	Graham Neubig	2015	- 0 +	Report
k-Nearest Neighbors	Matt Gormley	2016	- 0 +	Report
Classification: naïve Bayes; Noisy Channel Model	Nathan Schneider	2019	- 0 +	Report
Linear models review	Svetlana Lazebnik	2018	- 0 +	Report
Generative and Discriminative Learning	Vivek Srikumar	2018	- 0 +	Report
Natural Language Processing (CSEP 517): Text Classication	Noah Smith	2017	- 0 +	Report
Clustering	Ethem AlpaydÄ±n'	2019	- 0 +	Report
CS11-747 Neural Networks for NLP Structured Prediction with Local Dependencies'	Graham Neubig'	2017	- 0 +	Report
Text Clustering	Raymond J. Mooney	2017	- 0 +	Report
Linear Regression, Least Squares and Gradient Descent	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Bayesian Linear Regression (continued)	Nicholas Zabaras	2017	- 0 +	Report
Generative Models II	Phillip Isola	2018	- 0 +	Report
Trees	Greg Durrett	2017	- 0 +	Report
Support vector machines (SVMs)	David Sontag	2016	- 0 +	Report
Multi-layer perceptrons	Ethem AlpaydÄ±n	2014	- 0 +	Report
Support Vector Machines: Kernels	Ansaf Salleb-Aouissi'	2019	- 0 +	Report
Unsupervised Learning	John Paisley	2017	- 0 +	Report
Evaluation Methods	Sebastian Raschka	2018	- 0 +	Report
Kernel methods	Mehryar Mohri	2018	- 0 +	Report
Linear Regression	John Paisley'	2019	- 0 +	Report

Title (link)	Author	Date	Votes	Error
Perspectives on Unsupervised Representation Learning	Paolo Favaro	2020	- 0 +	Report
Multi-view invariance and grouping for self-supervised learning	Ishan Misra	2020	- 0 +	Report
Learning and transferring representations with few labels: BYOL & CrossTransformer	Carl Doersch	2020	- 0 +	Report

Title (link)	Author	Date	Votes	Error
Classification and Regression: In a Weekend	Ajit Jaokar, Dan Howarth	2019	- 0 +	Report

Title (link)	Author	Date	Votes	Error
The Automatic Statistician	Christian Steinruecken, Emma Smith, David Janz, James Lloyd, Zoubin Ghahramani	2018	- 0 +	Report
Logistic Regression	Daniel Jurafsky, James H. Martin	2017	- 0 +	Report
Vector Semantics	Daniel Jurafsky	2017	- 0 +	Report
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Sogaard	2013	- 0 +	Report
Computing with Word Senses	Daniel Jurafsky, James H. Martin	2017	- 0 +	Report
Learning with Support Vector Machines	Colin Campbell and Yiming Ying	2011	- 0 +	Report
A Survey on Multi-output Learning	"Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, and Xiaobo Shen"	2019	- 0 +	Report
Semantics with Dense Vectors	Daniel Jurafsky, James H. Martin	2017	- 0 +	Report
Naive Bayes and Text Classification	Sebastian Raschka	2014	- 0 +	Report
Machine Learning, Neural and Statistical Classification	D. Michie, D.J. Spiegelhalter, C.C. Taylor	1994	- 0 +	Report
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly	Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata	1037	- 0 +	Report
Text Classification Algorithms: A Survey	Kamran Kowsari	2019	- 0 +	Report
Vector Semantics	Daniel Jurafsky, James H. Martin	2017	- 0 +	Report
Understanding Neural Networks via Feature Visualization: A survey	"Anh Nguyen, Jason Yosinski, and Jeff Clune"	2019	- 0 +	Report
Text Classification Algorithms: A Survey	Kamran Kowsari	2019	- 0 +	Report
A Survey of Text Classification Algorithms	Charu C. Aggarwal, ChengXiang Zhai	2012	- 0 +	Report
Inductive Semi-supervised Learning with Applicability to NLP	Anoop Sarkar and Gholamreza Haffari	2015	- 0 +	Report
Introduction to Semi-Supervised Learning	Xiaojin Zhu and Andrew B. Goldberg	2008	- 0 +	Report
Vector Semantics (Dense Vectors)	Daniel Jurafsky	2017	- 0 +	Report

Title (link)	Author	Date	Votes	Error
Support Vector Machine in Javascript	Andrej Karpathy	2017	- 0 +	Report
Introduction to Implementing scikit-learn Classifiers	Mathew Mayo	2016	- 0 +	Report
dtreeviz : Decision Tree Visualization	Terence Parr	2018	- 0 +	Report
Deep Text Classifier	Matvey Ezhov	2017	- 0 +	Report
Implementation of the Brown hierarchical word clustering algorithm	Percy Liang	2007	- 0 +	Report
Non-Metric Space Library (NMSLIB): An efficient similarity search library	Leonid Boytsov	2018	- 0 +	Report
Text Classification	Author Unknown	2017	- 0 +	Report
Planetoid	Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov	2016	- 0 +	Report
ULMFiT_fastai_Text_Classification	prateekjoshi565	2018	- 0 +	Report
LIBSVM -- A Library for Support Vector Machines	Chih-Jen Lin	2016	- 0 +	Report
DensiTree: making sense of sets of trees	Remco Bouckaert	2011	- 0 +	Report
Support Vector Machine (SVM) Explorer	Xing Han Lu, Matthew Chan	2018	- 0 +	Report
SVMpy	Andrew Tulloch	2013	- 0 +	Report
Hierarchical word clustering, following "Brown clustering"	Michael Heilman	2013	- 0 +	Report
Text Classification Models with Tensorflow	dongjun-Lee	2018	- 0 +	Report
Approximate Nearest Neighbors in C++/Python	Erik Bernhardsson	2018	- 0 +	Report

Title (link)	Author	Date	Votes	Error
Text Mining: how to cluster texts (e.g. news articles) with artificial intelligence?	daniel451	2015	- 0 +	Report
A Tutorial on Spectral Clustering	Chris Ding	2004	- 0 +	Report
Complete tutorial on Text Classification using Conditional Random Fields Model (in Python)	Pranav Dar	2018	- 0 +	Report
Chapter 1.3:Code for linear regression with Gradient descent (from scratch and Tensorflow & Scikit Learn ).	Madhu Sanjeevi	2017	- 0 +	Report
A different kind of (deep) learning: part 1	Gidi Shperber	2018	- 0 +	Report
K-means Clustering: Algorithm, Applications, Evaluation Methods, and Drawbacks	Imad Dabbura	2018	- 0 +	Report
Comprehensive Support Vector Machines Guide - Using Illusion to Solve Reality!	Pranov Mishra	2018	- 0 +	Report
An Overview of Proxy-label Approaches for Semi-supervised Learning	Sebastian Ruder	2018	- 0 +	Report
Short Text Categorization using Deep Neural Networks and Word-Embedding Models	Kwan-Yuet (Stephen) Ho	2016	- 0 +	Report
Multi Label Text Classification with Scikit-Learn	Susan Li	2018	- 0 +	Report
GANs beyond generation: 7 alternative use cases	Alexandr Honchar	2018	- 0 +	Report
Text Classification using Algorithms	gk_	2017	- 0 +	Report
Building A Logistic Regression in Python, Step by Step	Susan Li	2017	- 0 +	Report
Words as Features NLTK Tutorial	Harrison	2018	- 0 +	Report
Beginning SVM from Scratch in Python	Harrison	2018	- 0 +	Report
Clustering text documents using scikit-learn kmeans in Python	Various Authors	2018	- 0 +	Report
Expectation Maximization	Joydeep Bhattacharjee	2018	- 0 +	Report
Text Classification & Word Representations using FastText (An NLP library by Facebook)	NSS	2017	- 0 +	Report
Chapter 2.0 : Logistic Regression with Math.	Madhu Sanjeevi	2017	- 0 +	Report
K-Means Clustering	Seema Singh	2018	- 0 +	Report
How to do text classification with CNNs, TensorFlow and word embedding	Lak Lakshmanan	2017	- 0 +	Report
Supervised Learning with Python	Vihar Kurama	2018	- 0 +	Report
Multi-Class Text Classification Model Comparison and Selection	Susan Li	2018	- 0 +	Report
Unsupervised Learning cheatsheet	Shervine Amidi	2018	- 0 +	Report
Flow-based Deep Generative Models	Lilian Weng	2018	- 0 +	Report
Chapter 3.1 : SVM from Scratch in Python.	Madhu Sanjeevi	2017	- 0 +	Report
Linear Regression Simplified - Ordinary Least Square vs Gradient Descent	Prabhu	2018	- 0 +	Report
Demystifying Maths of SVM	Krishna Kumar Mahto	2019	- 0 +	Report
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning and Big Data	Stefan Kojouharov	2017	- 0 +	Report
Classification – Logistic Regression	Paresh Sharma	2018	- 0 +	Report
Naive Bayes in Machine Learning	Prashant Gupta	2017	- 0 +	Report
Generative Adversarial Nets in TensorFlow	Agustinus Kristiadi	2016	- 0 +	Report
Document Clustering with Python	Brandon Rose	2018	- 0 +	Report
Text Classification is Your New Secret Weapon	Adam Geitgey	2018	- 0 +	Report
Chapter 1 :Complete Linear Regression with Math.	Madhu Sanjeevi	2017	- 0 +	Report
Clustering Based Unsupervised Learning	Syed Sadat Nazrul	2018	- 0 +	Report
Generalization and Equilbrium in Generative Adversarial Nets (GANs)	Sanjeev Arora	2017	- 0 +	Report
Chapter 5 : K-nearest neighbors algorithm with code from scratch.	Madhu Sanjeevi	2017	- 0 +	Report
Unsupervised Learning with Python	Vihar Kurama	2018	- 0 +	Report
Supervised Learning cheatsheet	Shervine Amidi	2018	- 0 +	Report
Dealing With Class Imbalanced Datasets For Classification.	Aditya Lahiri	2018	- 0 +	Report
An Introduction to Clustering and different methods of clustering	Saurav Kaushik	2016	- 0 +	Report
Report on Text Classification using CNN, RNN & HAN	Akshat Maheshwari	2018	- 0 +	Report
Linear Discriminant Analysis	Srishti Sawla	2018	- 0 +	Report
Chapter 3: Support Vector machine with Math.	Madhu Sanjeevi	2017	- 0 +	Report
Difference Between Softmax Function and Sigmoid Function	Saimadhu Polamuri	2017	- 0 +	Report
Beyond Accuracy: Precision and Recall	William Koehrsen	2018	- 0 +	Report
The Perceptron	Matt Mazur	2014	- 0 +	Report
Text classification	Sebastian Ruder	2018	- 0 +	Report
5 Reasons “Logistic Regression” should be the first thing you learn when becoming a Data Scientist	Dima Shulga	2018	- 0 +	Report
Machine Learning Basics???Part 3???Vector Machines, Unsupervised Learning and Principal Component Analysis	Daniel Deutsch	2018	- 0 +	Report
Learning Backpropagation from Geoffrey Hinton	Ryan Gotesman	2018	- 0 +	Report
Clustering text documents using k-means	F Pdregosa	2011	- 0 +	Report
Logistic Regression???Detailed Overview	Saishruthi Swaminathan	2018	- 0 +	Report
Support Vector Machine in Javascript	Andrej Karpathy	2016	- 0 +	Report
Introduction to k-Nearest-Neighbors	Devin Soni	2018	- 0 +	Report
Multi-Class Text Classification with Doc2Vec & Logistic Regression	Susan Li	2018	- 0 +	Report
Perceptrons, SVMs and Kernel Methods	Daniel Seita	2015	- 0 +	Report
Simple Softmax Regression in Python???Tutorial	Arthur Juliani	2016	- 0 +	Report
Taxonomy Learning	Sebastian Ruder	2018	- 0 +	Report
Introduction to Pseudo-Labelling : A Semi-Supervised learning technique	Shubham Jain	2017	- 0 +	Report
Text Classification with State of the Art NLP Library — Flair	Tadej Magajna	2018	- 0 +	Report
Deep Generative Models: A Unified Statistical View	Petuum, Inc.	2018	- 0 +	Report
Unsupervised Learning	Joydeep Bhattacharjee	2018	- 0 +	Report
Backpropagation through a fully-connected layer	Eli Bendersky	2018	- 0 +	Report
kmeans text clustering	Author Unknown	2018	- 0 +	Report
Rand index calculation	Pakspul	2014	- 0 +	Report
Multi Label Text Classification with Scikit-Learn	Susan Li	2018	- 0 +	Report
Machine Learning Basics???Part 1???Concept of Regression	Daniel Deutsch	2018	- 0 +	Report
Naive Classification using Matrix Dot Product / Change of Basis with Interactive Code in Numpy	Jae Duk Seo	2018	- 0 +	Report
Comparing Python Clustering Algorithms	Leland McInnes, John Healy, Steve Astels	2016	- 0 +	Report
A Tutorial on Spectral Clustering Part 2: Advance/related Topics	Chris Ding	2004	- 0 +	Report
Text Classification	Author Unknown	2018	- 0 +	Report
Chapter 2.1: Code for logistic regression with Gradient descent (from scratch and also using Scikit Learn ).	Madhu Sanjeevi	2017	- 0 +	Report
25 Questions to test a Data Scientist on Support Vector Machines	Ankit Gupta	2017	- 0 +	Report
Logistic and Softmax Regression	Xianxu Hou	2015	- 0 +	Report
GANs are Broken in More than One Way: The Numerics of GANs	Ferenc Huszár	2017	- 0 +	Report
Improving Language Understanding with Unsupervised Learning	Alec Radford	2018	- 0 +	Report
Introduction to Bayesian Linear Regression	William Koehrsen	1158	- 0 +	Report
Generative-Discriminative Pairs	Kwan-Yuet (Stephen) Ho	2016	- 0 +	Report
Naive Bayes and Text Classification	Sebastian Raschka	2014	- 0 +	Report
Understanding AI Toolkits	Edd Wilder-James	2017	- 0 +	Report
Back-Propagation is very simple. Who made it Complicated ?	Prakash Jay	2017	- 0 +	Report
Recipe: Text clustering using NLTK and scikit-learn	George-Bogdan Ivanov	2018	- 0 +	Report
Recipe: Text classification using NLTK and scikit-learn	bogdani	2016	- 0 +	Report
Linear Regression???Detailed View	Saishruthi Swaminathan	2018	- 0 +	Report
Text mining on the command line	Sabber Ahamed	2018	- 0 +	Report
Logistic Regression: a quick introduction	Irene Li	2015	- 0 +	Report

Title (link)	Author	Date	Votes	Error
NIPS 2016 Tutorial: Generative Adversarial Networks	Ian Goodfellow	2016	- 0 +	Report
Transfer Learning Intuition for Text Classification	Rahul Agarwal	2019	- 0 +	Report
Regression - Features and Labels	Harrison	2018	- 0 +	Report
Adversarial Examples and Adversarial Training	Ian Goodfellow	2017	- 0 +	Report
MACHINE LEARNING WITH MISSING LABELS PART 2: THE UNIVERSVM	Charles H. Martin	2014	- 0 +	Report
Feature Engineering in Python	Diva Jain	2019	- 0 +	Report
Generalized Linear Models	Roger Levy	2012	- 0 +	Report
Clustering With K-Means in Python	datasciencelab	2013	- 0 +	Report
Linear SVC Machine Learning SVM Example with Python	Harrison Kinsley	2015	- 0 +	Report
Deep Generative Models	Aaron Courville	2018	- 0 +	Report
The Complete Guide to Decision Trees (part 2)	Diego Lopez Yse	2019	- 0 +	Report
Introducing FastBert\\\A simple Deep Learning library for BERT Models	Kaushal Trivedi	2019	- 0 +	Report
The Anatomy of K-Means Clustering	Diego Lopez Yse	2019	- 0 +	Report
Machine Learning Classics : The Perceptron	The Data Science Lab	2014	- 0 +	Report
Generative Models - The Math of Intellligence #8	Siraj Raval	2017	- 0 +	Report
Tutorial To Implement k-Nearest Neighbors in Python From Scratch	Jason Brownlee	2014	- 0 +	Report
cs231n notes: Linear Classification	Andrej Karpathy	2016	- 0 +	Report
Faster AI: Lesson 2 - TL;DR version of Fast.ai Part 1	Kshitiz Rimal	2017	- 0 +	Report
Kernel Functions for Machine Learning Applications	César Souza	2010	- 0 +	Report
Naive Bayes Classifier with NLTK	Harrison	2018	- 0 +	Report
Neural Semi-supervised Learning	Alex Fabbri	2018	- 0 +	Report
Improving Training Data for sentiment analysis with NLTK	Harrison	2018	- 0 +	Report
Linear Regression in 2 Minutes (using PyTorch)	Sanyam Bhutani	2018	- 0 +	Report
Novel Methods for Text Generation using Adverserial Learning and Autoencoders	Mariya Yao	2019	- 0 +	Report
Improving Language Understanding with Unsupervised Learning	Alec Radford	2018	- 0 +	Report
Multi-Class Text Classification with Scikit-Learn	Susan Li	2018	- 0 +	Report
SVM Tutorial - Part I	Chris McCormick	2013	- 0 +	Report
ACL 2008: Semi-supervised Learning Tutorial	John Blitzer and XiaojinZhu	2008	- 0 +	Report
A Guide to using Logistic Regression for Digit Recognition (with Python codes)	Srikar	2018	- 0 +	Report
NLP Programming Tutorial 11 - The Structured Perceptron	Graham Neubig	2015	- 0 +	Report
The Success of Deep Generative Models	Jakub Tomczak	2018	- 0 +	Report
NLP Learning Series: Part 2\\\Conventional Methods for Text Classification	Rahul Agarwal	2019	- 0 +	Report
Support Vector Machines (SVM) Tutorial	Abhishek Ghose	2017	- 0 +	Report
Regression - Intro and Data	Harrison	2018	- 0 +	Report
Introduction, Implementing Classifiers	Mathew Mayo, KDnuggets	2016	- 0 +	Report
MACHINE LEARNING WITH MISSING LABELS PART 3: EXPERIMENTS	Charles H. Martin	2013	- 0 +	Report
Logistic Regression - Geometric Intuition	Florian Hartl	2015	- 0 +	Report
Learning with Latent Linguistic Structure	Junxian He, Pengcheng Yin, Chunting Zhou, Taylor Berg-Kirkpatrick	2018	- 0 +	Report
Naive Bayes Classifier	InFoCusp Innovations Pvt. Ltd.	2018	- 0 +	Report
A Comprehensive Guide to Understand and Implement Text Classification in Python	Shivam Bansal	2018	- 0 +	Report
Support Vector Machine (and Statistical Learning Theory) Tutorial	Jason Weston	2006	- 0 +	Report
Deep Generative Models	Ishaan Gulrajani	2017	- 0 +	Report
The Complete Guide to Decision Trees (part 1)	Diego Lopez Yse	2019	- 0 +	Report
ML algorithms Draft V1.0	Irene Lizihui	2019	- 0 +	Report
A Beginner\s Guide to Hierarchical Clustering and how to Perform it in Python	Pulkit Sharma	2019	- 0 +	Report
How To Implement Naive Bayes From Scratch in Python	Jason Brownlee	2014	- 0 +	Report
Everything You Wanted to Know about the Kernel Trick	Eric Kim	2017	- 0 +	Report
Active Learning for Natural Language Processing	Shilpa Arora and Sachin Agarwal	2007	- 0 +	Report
Implementing Your Own k-Nearest Neighbour Algorithm Using Python	Natasha Latysheva	2016	- 0 +	Report
Combining Classification Algorithms with NLTK	Harrison	2018	- 0 +	Report
Building a Logistic Regression in Python, Step by Step	Susan Li	2017	- 0 +	Report
Variational Autoencoders Explained in detail	Yoel Zeldes	2019	- 0 +	Report
An Introduction to Clustering and different methods of clustering	Saurav Kaushik	2016	- 0 +	Report
Transfer Learning	Irene Li	2018	- 0 +	Report
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python	Prateek Joshi	2018	- 0 +	Report
Tree Kernels: Quantifying Similarity Among Tree-Structured Data	Dino Causevic	2016	- 0 +	Report
Generative Models	Shakir Mohamed	2018	- 0 +	Report
Graph-based Semi-supervised Learning	Zoubin Ghahramani	2012	- 0 +	Report
NLP Programming Tutorial 3 - The Perceptron Algorithm	Graham Neubig	2015	- 0 +	Report
K-Means & Other Clustering Algorithms: A Quick Intro with Python	Nikos Koufos	2017	- 0 +	Report
Wasserstein GAN	James Allingham	2019	- 0 +	Report
Text Quantification: A Tutorial	Fabrizio Sebastiani	2014	- 0 +	Report
Approaches to Text Summarization: An Overview	Matthew Mayo	2019	- 0 +	Report
Representing and comparing probabilities with kernels: Part 1	Arthur Gretton	2018	- 0 +	Report
5 powerful Scikit-Learn Examples	Luke Posey	2019	- 0 +	Report
Text Classifier Algorithms in Machine Learning	Roman Trusov	2017	- 0 +	Report
Example of logistic regression in Python using scikit-learn	Kevin Markham	2014	- 0 +	Report
Tutorial on Deep Generative Models	Shakir Mohamed, Danilo Rezende	2017	- 0 +	Report
Generative Models	InFoCusp Innovations Pvt. Ltd.	2018	- 0 +	Report
Transfer Learning in NLP	Desh Raj	2018	- 0 +	Report
Three Popular Clustering Methods and When to Use Each	#ODSC - The Open Data Science Community	2018	- 0 +	Report
Naive Bayes for Machine Learning	Jason Brownlee	2016	- 0 +	Report
SVMs: Non-Separable Data, Convex Surrogate Loss, Multi-Class Classification, Kernels	Karl Stratos	2018	- 0 +	Report
Faster AI:Lesson 0 - TL;DR version of Fast.ai Part 1	Kshitiz Rimal	2017	- 0 +	Report
Building a Multi-label Text Classifier using BERT and TensorFlow	Javaid Nabi	2019	- 0 +	Report
Unsupervised Deep Learning	"Alex Graves, Marc'Aurelio Ranzato"	2018	- 0 +	Report
Unsupervised Machine Learning: Flat Clustering	Harrison Kinsley	2015	- 0 +	Report
Text Classification NLTK Tutorial	Harrison	2018	- 0 +	Report
Logistic Regression from Scratch in Python	Nick Becker	2017	- 0 +	Report
Intuitively understanding variatonal autoencoders	Irhum Shafkat	2019	- 0 +	Report
EM for Naive Bayes and Gaussian Mixture Models, k-Means Clustering	Karl Stratos	2018	- 0 +	Report
Thoughts on progress made and challenges ahead in few-shot learning	Hugo Larochelle	2018	- 0 +	Report
Deep Generative Models	Ava Soleimany	2021	- 0 +	Report
A TUTORIAL ON PRINCIPAL COMPONENT ANALYSIS	Jon Shlens	2003	- 0 +	Report
6 Easy Steps to Learn Naive Bayes Algorithm (with code in Python)	Emmanuelle Rieuf	2017	- 0 +	Report
Machine Learning with Kernel Methods	Julien Mairal & Jean-Philippe Vert	2017	- 0 +	Report
The Perceptron\\\A Building Block of Neural Networks	Ani Karenovna	2019	- 0 +	Report
Generative models in Tensorflow 2	Tim Sainburg	2019	- 0 +	Report
Unsupervised Machine Learning: Hierarchical Clustering	Harrison	2018	- 0 +	Report
Linear Classifiers	Andr´e Martins	2021	- 0 +	Report
Combination of Abstractive & Extractive methods for Text Summarization (Tutorial 7)	amr zaki	2019	- 0 +	Report
Machine Learning Methods in Natural Language Processing	Michael Collins	2003	- 0 +	Report
A Tutorial on Graph-based Semi-Supervised Learning Algorithms for NLP	Amarnag Subramanya and Partha Pratim Talukdar	2012	- 0 +	Report
How to Train a GAN	Soumith Chintala, Emily Denton, Martin Arjovsky, Michael Mathieu	2017	- 0 +	Report
Support Vector Machines	InFoCusp Innovations Pvt. Ltd.	2018	- 0 +	Report
Logistic Regression	TRIANGLEINEQUALITY	2013	- 0 +	Report
Towards Open-domain Generation of Programs from Natural Language	Graham Neubig	2018	- 0 +	Report
Machine Learning Workflows in Python from Scratch Part 2: k-means Clustering	Matthew Mayo	2017	- 0 +	Report
An Idiot's guide to Support vector machines (SVMs)	Robert Berwick	2003	- 0 +	Report
The Logistic Regression Algorithm	Niklas Donges	2019	- 0 +	Report
Classification	Sebastian Ruder	2019	- 0 +	Report
Large Scale Spectral Clustering with Landmark-Based Representation (in Julia)	Int8	2016	- 0 +	Report
BERT to the rescue!	Dima Shulga	2019	- 0 +	Report
A Leap into the Future: Generative Adversarial Networks	Matt Hergot	2019	- 0 +	Report
Naive Bayes Tutorial for Machine Learning	Jason Brownlee	2016	- 0 +	Report
Classification, support vector machines	Suriya Gunasekar	2018	- 0 +	Report
Faster AI:Lesson 1 - TL;DR version of Fast.ai Part 1	Kshitiz Rimal	2017	- 0 +	Report
K-Means Clustering with TensorFlow	sachin joglekar	2015	- 0 +	Report
Rohan #6: The beautiful math behind logistic regression	Rohan Kapur	2016	- 0 +	Report
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python	Prateek Joshi	2018	- 0 +	Report
NLP Programming Tutorial 6 - Advanced Discriminative Learning	Graham Neubig	2015	- 0 +	Report
On Logistic Regression: Gradients of the Log Loss, Multi-Class Classification, and Other Optimization Techniques	Karl Stratos	2018	- 0 +	Report
Applied Machine Learning:?Algorithms, Practice and Theory??Predicting & Naïve Bayes	Koby Crammer	2011	- 0 +	Report
Kernel Principal Component Analysis in C#	César Souza	2010	- 0 +	Report
Linear Regression, Logistic Regression	InFoCusp Innovations Pvt. Ltd.	2018	- 0 +	Report
A gentle introduction to text summarization	Alfrick Opidi	2019	- 0 +	Report
Lecture 1 Introduction to Kernel Methods	Bharath K. Sriperumbudur	2017	- 0 +	Report
Max-Margin Methods for NLP: Estimation, Structure and Applications	Dan Klein and Ben Taskar	2005	- 0 +	Report
Semi-supervised Learning Tutorial	John Blitzer and Xiaojin Zhu	2008	- 0 +	Report
Kernels Introduction	Harrison	2018	- 0 +	Report
Adversarial Examples	Ian Goodfellow	2015	- 0 +	Report
Introductory guide to Information Retrieval using kNN and KDTree	Gurchetan Singh	2017	- 0 +	Report
News Categorization using Multinomial Naive Bayes	Andres Soto Villaverde	2016	- 0 +	Report
MACHINE LEARNING WITH MISSING LABELS: TRANSDUCTIVE SVMS	Charles H. Martin	2014	- 0 +	Report
Deep Transfer Learning for Natural Language Processing — Text Classification with Universal Embeddings	Dipanjan (DJ) Sarkar	2018	- 0 +	Report
Selection of K in K-means Clustering, Reloaded	datasciencelab	2014	- 0 +	Report
Rohan #1: Logistic regression case study???diagnosing cancer	Rohan Kapur	2016	- 0 +	Report
A basic soft-margin kernel SVM implementation in Python	Andrew Tulloch	2013	- 0 +	Report
Deep Generative Models	Alexander Amini	2019	- 0 +	Report
Accuracy: from classification to clustering evaluation	Stanislas Morbieu	2019	- 0 +	Report
Tree Based Methods	InFoCusp Innovations Pvt. Ltd.	2018	- 0 +	Report
Classification, logistic regression	Suriya Gunasekar	2018	- 0 +	Report
Enter the Perceptron	Triangle Inequality	2014	- 0 +	Report
Generative Models I	Ian Goodfellow	2017	- 0 +	Report
cs231n notes: Classification	Andrej Karpathy	2016	- 0 +	Report
Kernel Support Vector Machines for Classification and Regression in C#	César Souza	2010	- 0 +	Report
Neural Semi-supervised Learning under Domain Shift	Sebastian Ruder	2018	- 0 +	Report
Support Vector Machines for Machine Learning	Jason Brownlee	2016	- 0 +	Report
Introduction to Classification: Likelihoods, Margins, Features, and Kernels	Dan Klein	2007	- 0 +	Report
Support Vector Machine introduction	Harrison	2018	- 0 +	Report
Generative Models, structured classification	Suriya Gunasekar	2018	- 0 +	Report

Topic 5: Classification 575