Machine Learning Platforms Flashcards
(9 cards)
What do machine learning platforms do?
Machine learning platforms facilitate machine learning from end to end, giving users the ability to manage the entire data lifecycle, from data ingestion to inference.
What is data ingestion?
Providing users the ability to integrate and ingest data from various internal and external sources, including enterprise applications, databases, and internet of things (IoT) devices
What is data preparation?
Data cleansing and data augmentation
What is feature engineering?
Transforming raw data into features that better present the underlying problem to the predictive models
What is model training?
Proper values are determined for various weights and biases from the data either by supervised or unsupervised learning
What is model deployment?
Making the model available in production environments where they provide their predictions to other systems
What is model comparison?
Gives the user the ability to compare models to a baseline or previous result to determine the quality of the model built. Also, monitoring metrics like accuracy and loss
What are examples of familiar frameworks a platform might have support for?
ONNX, Python, PyTorch, scikit-learn or TensorFlow
What protections would a platform have?
Enterprise-grade governance, security, and control