机器学习技能图谱

Toolbox

Java
- Mahout
Python
- Scikit-learn
- Orange
- Shogun
- milk
- pyml
R
Julia
Weka
Spark
- MLlib
Storm
Matlab

Algorithms

Supervised Learning

Regression
- Generalized Linear Regression
- Gaussian Processes
- Isotonic Regression
Classification
- Support Vector Machines
- Linear and Quadratic Discriminant Analysis
- Decision Trees
- K Nearest Neighbors
- Naive Bayes
- Neural Networks
- Ensemble Methods
- Kernel Approximation
- Adaboost

Unsupervised Learning

Clustering
- K-Means
- Gaussian Mixture Models
- Spectral Clustering
- Manifold Learning
- Hierarchical Clustering
- Affinity Propagation
- DBSCAN
- Birch
Dimensionality Reduction
- Principal Component Analysis
- Linear Discriminant Analysis
- Locally linear embedding
- Laplacian Eigenmaps
- Isomap
- Spectral Embedding
- Feature Agglomeration

Reinforcement Learning

Markov Decision Processes
Q-Learning
Sarsa

Deep Learning

Convolutional Neural Network
- Restricted Boltzmann Machines
- Recurrent Neural Network
- Long Short Term Memory

Model Selection and Evaluation

Cross-validation
Grid Search
Model Evaluation
Model Persistence
Validation Curves