Models & Algorithms
Deep Learning (CNNs, Feedforward Neural Networks)Reinforcement Learning (Q-Learning)Predictive Modeling (Multiple Linear Regression)Classification (Extra Trees, K-Means)Anomaly Detection (Isolation Forest)ClusteringMarkov Decision Processes (MDPs)Natural Language Processing
Techniques & Concepts
Supervised & Unsupervised LearningGradient Descent (Stochastic, Batch)Hyperparameter Tuning & OptimizationModel Evaluation & ValidationFeature EngineeringData Preprocessing & StandardizationModel Interpretability (Grad-CAM, XAI)He InitializationGradient ClippingEarly Stopping
Domains
Computer Vision (Image Detection)Autonomous Systems (Control Policies)Fraud DetectionNatural Language ProcessingPredictive Pricing (Automotive)Aerospace (Flight Dynamics)