Peter Ochabski

Supervised Learning Unsupervised Learning Reinforcement Learning RL Transfer Learning Self Supervised Learning Semi Supervised Learning Overfitting and Underfitting Bias Variance Tradeoff Cross Validation Feature Engineering Data Augmentation Neural Networks and Deep Learning Artificial Neural Networks ANN Convolutional Neural Networks CNN Recurrent Neural Networks RNN Long Short Term Memory LSTM Gated Recurrent Units GRU Transformer Models Multi Head Attention Positional Encoding Generative Adversarial Networks GANs Variational Autoencoders VAEs Self Attention Mechanism Optimization and Training Techniques Backpropagation Stochastic Gradient Descent SGD Adam RMSprop Adagrad Learning Rate Scheduling Batch Normalization Dropout Regularization Weight Initialization Hyperparameter Tuning Fine Tuning Mathematical and Statistical Foundations Linear Algebra Eigenvectors Matrices Tensors Probability and Bayesian Inference Markov Chains Hidden Markov Models HMM Principal Component Analysis PCA Singular Value Decomposition SVD Fourier and Wavelet Transforms Natural Language Processing NLP Tokenization Word Embeddings WordVec GloVe FastText Transformers BERT GPT T Attention Mechanisms Named Entity Recognition NER Sentiment Analysis Text Summarization Topic Modeling LDA LSA Computer Vision Object Detection YOLO Faster RCNN Image Segmentation UNet Mask RCNN Feature Extraction Optical Flow Image Embeddings Anomaly Detection Reinforcement Learning RL Q Learning Deep Q Networks DQN Policy Gradient Methods Actor Critic Models Proximal Policy Optimization PPO Monte Carlo Tree Search MCTS ML Infrastructure and Deployment Model Compression Quantization Pruning Knowledge Distillation ONNX TensorRT OpenVINO Edge AI and Federated Learning MLOps and CI CD for ML Kubernetes for AI Workloads Model Explainability SHAP LIME Fairness and Bias in AI Graph and Time Series Analysis Graph Neural Networks GNNs Temporal Graph Networks Anomaly Detection in Time Series Fourier and Wavelet Analysis AI Ethics and Advanced Topics Causal Inference Explainable AI XAI AI Alignment Adversarial Machine Learning Differential Privacy Neural Architecture Search NAS