parent,child
Machine Learning,Supervised Learning
Machine Learning,Unsupervised Learning
Machine Learning,Reinforcement Learning
Supervised Learning,Regression
Supervised Learning,Classification
Unsupervised Learning,Dimensionality Reduction
Unsupervised Learning,Clustering
Supervised Learning,Decision Tree
Regression,Decision Tree
Classification,Decision Tree
Classification,Model Usage
Classification,Model Construction
Decision Tree,Information gain
Decision Tree,Gini index
Unsupervised Learning,Eager learning
Unsupervised Learning,Lazy learning
Supervised Learning,Eager learning
Supervised Learning,Lazy learning
Classification,K Nearest Neighbour
Lazy learning,K Nearest Neighbour
Eager learning,Decision Tree
Supervised Learning,Neural Network
Eager learning,Neural Network
Neural Network,Gradient Descent
Neural Network,Multilayered Perceptron
Neural Network,Overfitting
Neural Network,Convolutional Neural Network
Gradient Descent,Back Propogation
Convolutional Neural Network,Multilayered Perceptron
Convolutional Neural Network,Pooling
Convolutional Neural Network,Flattening
Convolutional Neural Network,Stride
Clustering,K means clustering
Clustering,Hierarchical clustering
Clustering,Data similarity
K means clustering,Data similarity
Hierarchical clustering,Data similarity
Hierarchical clustering,Hierarchical algorithms
K means clustering,Partitioning algorithms
Overfitting,Generalization
Overfitting,Regularization
Regularization,Dropout
Regularization,Data Augmentation
Regularization,Early stopping
Classification,Ensemble methods
Data similarity,Text data
Text data,Word2vec
Data similarity,Cosine similarity
Word2vec,Cosine similarity
Unsupervised Learning,Embedding
Supervised Learning,Embedding
Embedding,Dimensionality Reduction
Dimensionality Reduction,Primary Component Analysis
Embedding,Autoencoder
Reinforcement Learning,Markov decision process
Reinforcement Learning,Value function
Reinforcement Learning,Quality function
Quality function,Q-Learning
Q-Learning,Exploration
Word2vec,Bag of words model
Word2vec,Skip-Gram
Dimensionality Reduction,Feature selection
Dimensionality Reduction,Feature extraction
Value function,Policy
Value function,State
Value function,Action
Value function,Reward
Ensemble methods,Bagging
Ensemble methods,Boosting
Ensemble methods,Random Forest
Decision Tree,Random Forest
Back Propogation,Chain rule
Multilayered Perceptron,Gradient Descent
Multilayered Perceptron,Decision Boundary
Convolutional Neural Network,image
Convolutional Neural Network,sparse connections
Convolutional Neural Network,parameter sharing
Pooling,parameters reduction
Pooling,Max Pooling
Pooling,Average Pooling
Convolutional Neural Network,Padding
Padding,Zero padding
Data similarity,intra-class similarity
Data similarity,inter-class similarity
Bagging,minimize variance
Boosting,minimize bias
Boosting,Adaptive Boosting
Boosting,XGBoost
Hierarchical clustering,Agglomerative Nesting
Text data,Inverse document frequency
Text data,Latent Semantic Analysis
Dimensionality Reduction,Single Value Decomposition
Primary Component Analysis,Latent Semantic
Single Value Decomposition,Latent Semantic
Bag of words model,one hot encoding
Bag of words model,memory consuming
Autoencoder,Convolutional AE
Autoencoder,Denoising AE
Autoencoder,Deep AE