Machine learning

Thema UYQM

832 tuit · page 18/21
Formal & Physical Sciences AI — Models & Research
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6.8210 Spring 2023 Lecture 3 Part 2

MIT OpenCourseWare
10 min
4/5
Dynamic ProgrammingOptimal ControlUnderactuated Robotics
Formal & Physical Sciences AI — Models & Research
EN

Soft Boundary K-Means Clustering

Machine Learning Practice
11 min
4/5
K-MeansClusteringSoft Assignment
Formal & Physical Sciences AI — Models & Research
EN

Semi-Supervised Regression

Machine Learning Practice
20 min
4/5
Semi-Supervised LearningRegressionManifold Learning
Formal & Physical Sciences AI — Models & Research
EN

Mixture Distributions

Machine Learning Practice
17 min
4/5
Mixture DistributionsGaussian Mixture ModelProbability Density Function
Formal & Physical Sciences AI — Models & Research
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Machine Learning Practice: Conclusions

Machine Learning Practice
12 min
4/5
Machine LearningBest PracticesData Science
Formal & Physical Sciences AI — Models & Research
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Learning Gaussian Mixture Distributions

Machine Learning Practice
13 min
4/5
Gaussian Mixture ModelsExpectation MaximizationClustering
Formal & Physical Sciences AI — Models & Research
EN

Label Spreading

Machine Learning Practice
19 min
4/5
Label SpreadingSemi-Supervised LearningScikit-Learn
Formal & Physical Sciences AI — Models & Research
EN

Label Propagation

Machine Learning Practice
27 min
4/5
Label PropagationSemi-Supervised LearningMachine Learning
Formal & Physical Sciences AI — Models & Research
EN

K-Means Clustering

Machine Learning Practice
22 min
4/5
K-MeansClusteringUnsupervised Learning
Formal & Physical Sciences AI — Models & Research
EN

Expectation Maximization Learning Example

Machine Learning Practice
11 min
3/5
Expectation MaximizationClusteringGaussian Mixture Models
Formal & Physical Sciences AI — Models & Research
EN

t-Statistic Neighbor Embedding

Machine Learning Practice
15 min
4/5
T-SNEDimensionality ReductionMachine Learning
Formal & Physical Sciences AI — Models & Research
EN

T-SNE: Example in Scikit-Learn

Machine Learning Practice
10 min
4/5
T-SNEScikit-LearnDimensionality Reduction
Formal & Physical Sciences AI — Models & Research
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Principal Component Analysis

Machine Learning Practice
12 min
4/5
PCADimensionality ReductionMachine Learning
Formal & Physical Sciences AI — Models & Research
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Multidimensional Scaling

Machine Learning Practice
13 min
4/5
Multidimensional ScalingDimensionality ReductionDistance Metrics
Formal & Physical Sciences AI — Models & Research
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Locally Linear Embeddings: Example 2

Machine Learning Practice
11 min
4/5
Locally Linear EmbeddingDimensionality ReductionManifold Learning
Formal & Physical Sciences AI — Models & Research
EN

Locally Linear Embedding: Example 1

Machine Learning Practice
15 min
4/5
Locally Linear EmbeddingDimensionality ReductionManifold Learning
Formal & Physical Sciences AI — Models & Research
EN

Locally Linear Embedding

Machine Learning Practice
21 min
4/5
Locally Linear EmbeddingDimensionality ReductionManifold Learning
Formal & Physical Sciences AI — Models & Research
EN

Introduction to Dimensionality Reduction

Machine Learning Practice
11 min
4/5
Dimensionality ReductionMachine LearningUnsupervised Learning
Formal & Physical Sciences AI — Models & Research
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Regression Trees

Machine Learning Practice
27 min
4/5
Regression TreesDecision TreesMachine Learning
Formal & Physical Sciences AI — Models & Research
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Random Forests

Machine Learning Practice
10 min
4/5
Random ForestsEnsemble LearningDecision Trees
Formal & Physical Sciences AI — Models & Research
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Probability Tree Learning

Machine Learning Practice
29 min
4/5
Decision TreesEntropyGini Impurity
Formal & Physical Sciences AI — Models & Research
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Introduction to Decision Trees

Machine Learning Practice
31 min
4/5
Decision TreesMachine LearningClassification
Formal & Physical Sciences AI — Models & Research
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Gradient Boosting

Machine Learning Practice
19 min
4/5
Gradient BoostingMachine LearningRegression
Formal & Physical Sciences AI — Models & Research
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Feature Importance

Machine Learning Practice
16 min
4/5
Feature ImportanceRandom ForestMachine Learning
Applied Sciences & Engineering AI — Models & Research
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Example: Regression Trees

Machine Learning Practice
15 min
4/5
Regression TreesScikit-LearnMachine Learning
Formal & Physical Sciences AI — Models & Research
EN

Example: Probability Tree Learning

Machine Learning Practice
39 min
4/5
Decision TreesScikit-LearnMachine Learning
Formal & Physical Sciences AI — Models & Research
EN

Example: Implementing a Voting Classifier

Machine Learning Practice
22 min
4/5
Ensemble MethodsVoting ClassifierScikit-Learn
Formal & Physical Sciences AI — Models & Research
EN

Example: Gradient Boosting

Machine Learning Practice
18 min
4/5
Gradient BoostingScikit-LearnMachine Learning