Transfer Learning, MLOps and Responsible AI

In this lesson, we will learn Transfer Learning, MLOps, and Responsible AI. Pretrained models, fine-tuning, deployment, monitoring, drift, model registry, pipelines, bias, fairness, explainability, and AI risks will be explained. ## Lesson objective In this lesson, we will learn Transfer Learning, MLOps and Responsible AI. In the previous lesson, we covered NLP, Text Analytics and Sequence Models. We explained NLP, text preprocessing, tokenization, TF-IDF, embeddings, sentiment analysis, text classification, NER, topic modeling, RNN, LSTM, Transformer, attention, BERT, and GPT.