mindmap root((Machine Learning)) ClassicalLearning(Classical Learning) SupervisedLearning(Supervised Learning) Classification(Classification) KNN(K-NN | Example: Image Recognition) NaiveBayes(Naive Bayes | Example: Spam Filtering) SVM(SVM | Example: Cancer Classification) DecisionTrees(Decision Trees | Example: Loan Approval) LogisticRegression(Logistic Regression | Example: Credit Scoring) Regression(Regression) LinearRegression(Linear Regression | Example: Salary Forecasting) PolynomialRegression(Polynomial Regression | Example: Trend Analysis) RidgeLassoRegression(Ridge/Lasso Regression | Example: Feature Selection) UnsupervisedLearning(Unsupervised Learning) Clustering(Clustering) KMeans(K-Means | Example: Customer Segmentation) Agglomerative(Agglomerative | Example: Hierarchical Clustering) DBSCAN(DBSCAN | Example: Anomaly Detection) MeanShift(Mean-Shift | Example: Object Tracking) FuzzyCMeans(Fuzzy C-Means | Example: Pattern Recognition) RuleSearching(Rule Searching) Apriori(Apriori | Example: Market Basket Analysis) Eclat(Eclat | Example: Association Rule Mining) FPGrowth(FP-Growth | Example: Frequent Itemset Mining) DimensionalityReduction(Dimensionality Reduction) PCA(PCA | Example: Data Visualization) LSA(LSA | Example: Document Retrieval) SVD(SVD | Example: Recommendation Systems) LDA(LDA | Example: Topic Modeling) TSNE(t-SNE | Example: High-dimensional Data Visualization) ReinforcementLearning(Reinforcement Learning) QLearning(Q-Learning | Example: Game AI) SARSA(SARSA | Example: Robot Navigation) DeepQNetwork(Deep Q-Network | Example: Playing Atari Games) A3C(A3C | Example: Continuous Control Tasks) NeuralNetworksDeepLearning(Neural Networks & Deep Learning) CNN(Convolutional Neural Networks) CNN_Examples(CNN Examples) ResNet(ResNet | Image Classification) UNet(U-Net | Medical Image Segmentation) EfficientNet(EfficientNet | Scaling CNNs) RNN(Recurrent Neural Networks) LSTM(LSTM | Example: Language Modeling) GRU(GRU | Example: Speech Recognition) RNN_Examples(RNN Examples) Seq2Seq(Seq2Seq | Machine Translation) BERT(BERT | Example: Question Answering) GAN(Generative Adversarial Networks) GAN_Examples(GAN Examples) StyleGAN(StyleGAN | Example: Image Generation) CycleGAN(CycleGAN | Example: Image-to-Image Translation) BigGAN(BigGAN | Example: High-Resolution Image Synthesis) MLP(Multilayer Perceptrons) Autoencoders(Autoencoders | Example: Anomaly Detection) EnsembleMethods(Ensemble Methods) RandomForest(Random Forest | Example: Feature Importance) Stacking(Stacking | Example: Improve Prediction Performance) Boosting(Boosting) AdaBoost(AdaBoost | Example: Binary Classification) XGBoost(XGBoost | Example: Structured Data) LightGBM(LightGBM | Example: Large Datasets) CatBoost(CatBoost | Example: Categorical Data) NLPInnovations(NLP Innovations) GPT(GPT-3 | Example: Text Generation) T5(T5 | Example: Text-to-Text Tasks) VIT(Vision Transformer | Example: Image Classification) NLP_Applications(NLP Applications) Chatbots(Chatbots | Example: Customer Service) SentimentAnalysis(Sentiment Analysis | Example: Market Research) NamedEntityRecognition(NER | Example: Information Extraction) MachineTranslation(Machine Translation | Example: Real-time Translation)