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Machine Learning Algorithms
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Gradient Boosting Machines (GBM)
ALL
List of algorithms
REGRESSION
Linear Regression
Ordinary Least Squares
Logistic Regression
Stepwise Regression
Multivariate Adaptive Regression Splines
Locally Estimated Scatterplot Smoothing
INSTANCE BASED METHODS
kNearest Neighbour (kNN)
Learning Vector Quantization (LVQ)
SelfOrganizing Map (SOM)
PREPROCESSING DATA
standardization  mean removal  variance scaling
normalization
binarization
encoding categorical variables
label preprocessing
imputation of missing values
unsupervised data reduction
pca
random projections
Feature agglometration
DECISION TREE LEARNING
Decision tree
Random Forest
Gradient Boosting Machines (GBM)
BAYESIAN
Naive Bayes
Averaged OneDependence Estimators
Bayesian Belief Network (BBN)
COLLABORATIVE FILTERING
userbased collaborative filtering
itembased collaborative filtering
matrix factorization with ALS
CLUSTERING
kmeans
fuzzy kmeans
affinity propagation
mean shift
spectral clustering
hierarchical clustering
Agglomerative hierarchical clustering
Divisive hierarchical clustering
DIMENSIONALITY REDUCTION
pca
Singular Value Decomposition svd
Lanczos Algorithm
KERNEL METHODS
Support Vector Machines (SVM)
Radial Basis Function (RBF)
Linear Discriminant Analysis (LDA)
ENSEMBLE METHODS
Bagging
Boosting
Bootstrapped Aggregation
AdaBoost
Stacked Generalization
Gradient Boosting Machines (GBM)
Random Forest
Mixture of Experts
ASSOCIATION LEARNING
apriori
eclat
fp growth
NATURAL LANGUAGE PROCESSING
lda
OTHER CONCEPTS
anova
max entropy
pattern
Posts
Ensembles (3): Gradient Boosting
Gradient boosting ensemble technique for regression
20Oct2015
Search Results from
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GBM
Ensembles (3): Gradient Boosting
Trevor Hastie  Gradient Boosting Machine Learning
Gradient Boosting: What Is It and How Can I Use It In My Machine Learning?  Eoin Brazil
Decision Trees and Boosting, XGBoost  Two Minute Papers #55
xgboost: An R package for Fast and Accurate Gradient Boosting
17. Learning: Boosting
Ensemble Learning Boosting  Georgia Tech  Machine Learning
Peter Prettenhofer  Gradient Boosted Regression Trees in scikitlearn
xgboost tutorial
Steffen Rendle, Research Scientist, Google @ MLconf SF
Advances In Gradient Boosting: The Power of PostProcessing
Principal Curves and Surfaces
Gradient Boosted Decision Tree :: Gradient Boosting @ Machine Learning Techniques (??????)
Lecture 5  Part b  Statistical Learning with Applications in R  Model Selection & Regularization
How Random Forest algorithm works
XGBoost A Scalable Tree Boosting System June 02, 2016
Boosting
Random Forest and gradient boosting
Gradient Boosted Decision Tree :: Summary of Aggregation @ Machine Learning Techniques (??????)
Lecture 4  Part b  Statistical Learning with Applications in R  Resampling Mehods
XGBoost: A Scalable Tree Boosting System June 02, 2016
Decision Trees, Boosting Trees, and Random Forests: A SidebySide Comparison
Better Optimization with Repeated Cross Validation and the XGBoost model  Machine Learning with R
0xdata and Netflix Present: Trevor Hastie on GBM (October 10, 2013)
6.034 Recitation 10: Boosting (Adaboost)
Machine Learning: Python and the Power of Ensembles by Bargava Raman Subramanian
Ensemble Boosting  Georgia Tech  Machine Learning
Lecture 6  Part a  Statistical Learning with Applications in R  Moving Beyond Linearity
Scalable Machine Learning in R and Python with H2O
Selective Inference in Regression
AdaBoost
bayesboot: An R package for easy Bayesian bootstrapping
Using Correlations To Understand Your Data: Machine Learning With R
Decision Tree :: Decision Tree in Action @ Machine Learning Techniques (??????)
Online Isotonic Regression
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