Toggle navigation
Find Group
Groups
Top Groups
Open Source for beginners
English Vocabulary
Machine Learning Algorithms
Python Programming Language for Beginners
Guitar for beginners
Advanced Java
Flute for Beginners
Learning Basic English Grammar
Chemistry for Kids
Science Competitions in USA
Grades
Preschool
Preschool English
Preschool Maths
Preschool Science
Preschool Social Studies
Kindergarten
Kindergarten  English Language  Common Core
Kindergarten  Maths  Common Core
Kindergarten  Science  Macmillan/McGrawHill
Kindergarten  Science California  Macmillanm
Kindergarten  Social Studies  Reflections  Our World Now and Long Ago  Harcourt
Grade 1
Grade 1  Science California  Macmillan
Grade 1  English Language  Common Core
Grade 1  Science  Macmillan/McGrawHill
Grade 1 Maths  Common Core
Grade 1 Social Studies  Reflections  Harcourt
Grade 2
Grade 2  English Language  Common Core
Grade 2  English Writing
Grade 2  Science  Macmillan
Grade 2  Science  Macmillan/McGrawHill
Grade 2  Social Studies  Reflections  People We Know  Harcourt
Grade 2 Maths  Common Core
Grade 3
Grade 3  English Language  Common Core
Grade 3  English Writing
Grade 3  Maths  Common Core
Grade 3  Science  Macmillan
Grade 3  Science  Macmillan/McGrawHill
Grade 3  Social Studies  Reflections Our Communities  Harcourt
Grade 4
Grade 4  Maths  Common Core
Grade 4  English Language  Common Core
Grade 4  English Writing
Grade 4  Science  A Closer Look  Macmillan/McGrawHill
Grade 4  Science California  Macmillan
Grade 4  Social Studies  Reflections California  Harcourt
Grade 5
Grade 5  English Language  Common Core
Grade 5  English Writing
Grade 5  Science  Macmillan/McGrawHill
Grade 5  Science  Macmillan
Grade 5 Maths  Common Core
Grade 5 Science  Pearson
Grade 5 Social Studies  Reflections  United States  Harcourt
Grade 6
Grade 6  English Language  Common Core
Grade 6  English Writing
Grade 6  Maths  Common Core
Grade 6  Science  Macmillan/McGrawHill  A Closer Look
Grade 6  Science California  Macmillan
Grade 6  Social Studies  Ancient Civilizations  Pearson
Grade 6  Social Studies  Reflections Ancient Civilizations  Harcourt
Grade 7
Grade 7  English Language  Common Core
Grade 7  English Writing
Grade 7  Maths  Common Core
Middle School  Earth Science  California  Pearson
Middle School  History  Medieval and Early Modern Times  Pearson
Middle School  History  Medieval to Early Modern Times  California Social Science  Holt
Middle School  Life Science  California  Pearson
Middle School  Life Science  Prentice Hall Pearson
Middle School  Physical Science  California  Pearson
Middle School  World History  Holt
Grade 8
8th Grade  Physical Science Concepts in Action  Prentice Hall
Grade 8  Science  Common Core
Grade 8  Algebra 1  Holt
Grade 8  English Language  Common Core
Grade 8  English Writing  Common Core
Grade 8  Integrated Maths
Grade 8  Maths  Common Core
Middle School  Earth Science  California  Pearson
Middle School  History  Medieval and Early Modern Times  Pearson
Middle School  History  Medieval to Early Modern Times  California Social Science  Holt
Middle School  Life Science  California  Pearson
Middle School  Life Science  Prentice Hall Pearson
Middle School  Physical Science  California  Pearson
Middle School  World History  Holt
Grade 9
High School  English Language  Grade 9  10  Common Core
High School  Biology  Prentice Hall
Grade 11
Grade 11 and 12
High School  English Language  Grades 11 & 12  Common Core
High School
High School  English Language  Grade 9  10  Common Core
High School  Algebra 2  Holt
High School  Biology  Prentice Hall
High School  Chemistry
High School  Chemistry  Prentice Hall
High School  Conceptual Physics  Prentice Hall
High School  Earth Science  Prentice Hall
High School  English Language  Grades 11 & 12  Common Core
High School  Environmental Science  Prentice Hall
High School  Health and Nutrition  Prentice Hall
High School  Science  Common Core
High School Maths  Algebra  Common Core
High School Maths  Calculus  Larson, Hostetler, Edwards
High School Maths  Functions  Common Core
High School Maths  Geometry  Common Core
High School Maths  Number and Quantity  Common Core
High School Maths  Statistics and Probability  Common Core
High School US History  Pearson
High School World History  Pearson
Subjects
Misc
Biology
Chemistry
Computer Science
Computer Science: Big Data
Computer Science: Data Science
Computer Science: Programming Languages
Computer Science: Software Engineering
Computer Science: Systems and Security
English
Engineering
Languages
Mathematics
Music
Painting
Physics
Science
Social Science
Sports Outdoor
Sports Indoor
Links
Home
Groups
Contacts
Schools
Notes
Teachers
Games
Register
Login
Login
Machine Learning Algorithms
Related
Machine Learning Tools on Hadoop (Machine Learning Hadoop)
Machine Learning  Deep Learning
Machine Learning  H2O
Machine Learning Tools
Machine Learning Libraries
Machine Learning Solutions
Machine Learning Concepts
Recommendation Machine Learning
Apache Mahout  Machine Learning
Oryx  Machine Learning with Hadoop
Machine Learning  Natural Language Processing  NLP
Machine Learning with MATLAB (MATLAB)
Algorithms and Time Complexity
Learning French
Soccer  Learning
Vietnamese learning
Learning Hindi
Learning Java
Learning Spanish
This group is for discussions related to Machine Learning Algorithms
dashboard
feed

FILTER :
videos
slides
links
quiz

SEARCH :
youtube
slideshare
quizlet
Google
Stacked Generalization
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
No posted content found
Search Results from
Next>>
Improving classification accuracy through model stacking
Ensemble learners
Marios Michailidis: How to become a Kaggle #1: An introduction to model stacking
Weka Tutorial 13: Stacking Multiple Classifiers (Classification)
Stacked Ensemble Models and Data Science Competitions
Building Stacking Ensemble in R using six algorithms  Arabic
10.1 ? Why it helps to combine models [Neural Networks for Machine Learning]
How to Do Sentiment Analysis  Intro to Deep Learning #3
Machine Learning DataScience interview questions  What is regularization? Why required?
How to become a FullStack Deep Learning Engineer by Forrest Iandola
Robust PhysicalWorld Attacks on Machine Learning Models  Bo Li
PyCon PL 2015: B. Subramanian Building better machine learning algorithms for a Data platform
Learning with the BlackDROPS algorithm
Bargava Subramanian  Machine Learning: Power of Ensembles
2. Mixtures of Experts
Bridging the Gap Between Theory and Practice in Machine Learning
Tom Radcliffe  Robust Algorithms for Machine Learning
Machine Learning: Python and the Power of Ensembles by Bargava Raman Subramanian
Machine & Deep Learning: Practical Deployments and Best Practices for the Next Two Years
Generalized Low Rank Models  Madeleine Udell
Scalable Machine Learning in R and Python with H2O
Ensembles (3): Gradient Boosting
Scalable Machine Learning in R and Python with H2O
Introducing ML.NET : Build 2018
Ensemble Methods
Lecture 14.2 ? Discriminative learning for DBNs [Neural Networks for Machine Learning]
Machine learning at scale : Build 2018
Gradient Boosting Method and Random Forest  Mark Landry
Deep Learning Approach for Extreme Multilabel Text Classification
Real Time Machine Learning with Redis, Apache Spark, Tensor Flow, and more  Cihan Biyikoglu
Machine Learning with TensorFlow (GDD Europe 17)
Extending Spark Machine Learning Beyond Linear Regression by Holden Karau
How to Learn an Algorithm  Jürgen Schmidhuber
Demystifying Parallel and Distributed Deep Learning: An InDepth Concurrency Analysis
Lecture 5.2 ? Achieving viewpoint invariance [Neural Networks for Machine Learning]
TFX: A TensorFlowBased ProductionScale Machine Learning Platform
Next>>