Machine Learning in Finance

  1. Advanced Machine Learning Applications
    1. Deep Learning in Finance
      1. Neural Network Architectures
        1. Feedforward Networks
          1. Convolutional Neural Networks
            1. Recurrent Neural Networks
              1. LSTM Networks
                1. GRU Networks
                2. Transformer Networks
                3. Time Series Deep Learning
                  1. Sequence-to-Sequence Models
                    1. Attention Mechanisms
                      1. Temporal Convolutional Networks
                      2. Generative Models
                        1. Variational Autoencoders
                          1. Generative Adversarial Networks
                            1. Normalizing Flows
                          2. Natural Language Processing
                            1. Text Data in Finance
                              1. News Articles
                                1. Earnings Call Transcripts
                                  1. Social Media Posts
                                    1. Regulatory Filings
                                    2. Sentiment Analysis
                                      1. Lexicon-Based Approaches
                                        1. Machine Learning Methods
                                          1. Deep Learning Approaches
                                          2. Information Extraction
                                            1. Named Entity Recognition
                                              1. Relationship Extraction
                                                1. Event Extraction
                                                2. Document Classification
                                                  1. Topic Modeling
                                                    1. Document Clustering
                                                      1. Automated Tagging
                                                    2. Reinforcement Learning
                                                      1. Markov Decision Processes
                                                        1. States and Actions
                                                          1. Reward Functions
                                                            1. Policy Optimization
                                                            2. Trading Applications
                                                              1. Optimal Execution
                                                                1. Portfolio Management
                                                                  1. Market Making
                                                                  2. Learning Algorithms
                                                                    1. Q-Learning
                                                                      1. Policy Gradient Methods
                                                                        1. Actor-Critic Methods
                                                                          1. Deep Reinforcement Learning
                                                                        2. Ensemble Methods and Model Combination
                                                                          1. Bagging Methods
                                                                            1. Random Forest
                                                                              1. Extra Trees
                                                                              2. Boosting Methods
                                                                                1. AdaBoost
                                                                                  1. Gradient Boosting
                                                                                    1. XGBoost
                                                                                      1. LightGBM
                                                                                      2. Stacking and Blending
                                                                                        1. Meta-Learning
                                                                                          1. Model Selection
                                                                                            1. Weight Optimization

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                                                                                        5. Fraud Detection and Compliance

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                                                                                        7. Model Development and Validation