TensorFlow Extended - TFX Overview and Pre-Training Workflow

This course provides an overview of TensorFlow Extended (TFX) and its pre-training workflow, focusing on aspects such as Data Validation and Transformation within a Machine Learning pipeline. The course aims to teach learners about TensorFlow Libraries, building components, model export path, data distribution visualization, model tracking, multiple models visualization, driver publisher, shared configuration model, orchestration, data validation, data analysis validation, data understanding, statistics, schema, payment types, example validator, anomaly reports, transformations, transform utility, transform pipeline, transform label, and transform graph. The teaching method includes lectures and workshops, making it suitable for individuals interested in understanding TFX's support for pre-training in Machine Learning pipelines.