- Skills Directory
- Machine Learning
Machine Learning
Machine Learning, a subdomain of artificial intelligence, allows computers to produce output without being explicitly programmed.
This competency area includes using One-Hot encoding technique, creating new features using feature engineering, record sampling, running inference on a pre-trained machine learning model, among others.
Key Competencies:
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Transform features using the One-Hot encoding technique - Transforming categorical features to numerical features using the One-Hot encoding data transformation technique.
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Create new features using feature engineering - Transforming a single feature into multiple features so that a machine can easily find patterns in the data. For example, transforming a date timestamp to month, day of week, and time of day features.
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Perform record sampling - Removing observations based on business need and the business problem being solved.
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Split data for training and evaluation purposes - Performing an 80/20 split of data for training and evaluation purposes using Scikit-learn, a machine learning library for Python.
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Load pre-trained machine learning model - Selecting and loading a pre-trained Computer Vision machine learning model from Model Zoo.
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Run inference on pre-trained machine learning model - Running inference on a pre-trained machine learning model loaded from Model Zoo.