Machine Learning Platforms Flashcards

(9 cards)

1
Q

What do machine learning platforms do?

A

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.

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2
Q

What is data ingestion?

A

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

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3
Q

What is data preparation?

A

Data cleansing and data augmentation

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4
Q

What is feature engineering?

A

Transforming raw data into features that better present the underlying problem to the predictive models

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5
Q

What is model training?

A

Proper values are determined for various weights and biases from the data either by supervised or unsupervised learning

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6
Q

What is model deployment?

A

Making the model available in production environments where they provide their predictions to other systems

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7
Q

What is model comparison?

A

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

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8
Q

What are examples of familiar frameworks a platform might have support for?

A

ONNX, Python, PyTorch, scikit-learn or TensorFlow

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9
Q

What protections would a platform have?

A

Enterprise-grade governance, security, and control

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