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Learning Task (Implementation (:check: Processing Unit (GPU, CPU), …
Learning Task
Implementation
:pencil2: Language
:pencil2: Library
:check: Processing Unit
GPU
CPU
:pencil2: RAM
:check: Techniques and Algorithms
Supervised learning
Regression
Boosting
Linear regression
Polynomial regression
Ridge/Lasso regression
Random Forest
Logistic regression
Neural networks
Convolutional neural network (CNN)
Recurrent neural network (RNN)
Long short-term memory (LSTM)
Classification
Boosting
Random forest
Decision tree
Support vector machine (SVM)
Naive Bayes
k-Nearest Neighbors (k-NN)
Neural netoworks
Convolutional network (CNN)
Recurrent neural network (RNN)
Long short-term memory (LSTM)
Unsupervised learning
Clustering
Agglomerative
DBSCAN
K-Means
Mean shift
Fuzzy C-Means
Generative model
Generative adversarial network (GAN)
Association rule learning
FP Growth
Euclat
Apriori
Dimensionality reduction
Principal component analysis (PCA)
Independent component analysis (ICA)
Singular-value decomposition (SVD)
Linear discriminant analysis (LDA)
Non-negative matrix factorization
Autoencoders
Reinforcement learning
Q-Learning
Deep reinforcement learning (DQN)
State-action-reward-state-action (SARSA)
Genetic algorithm
Markov decision process
Asynchronous advantage actor critics (A3C)
Performance
ML Model performance
:pencil2: Performance metric
:pencil2: Model performance