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1 |
Utilizes modern informatics tools and programming environments to import, summarize, and visualize data.
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2 |
Applies engineering knowledge of mathematics and statistical learning to formulate solutions for data science problems.
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3 |
Identifies and formulates complex engineering problems using predictive modeling techniques such as regression and classification.
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4 |
Designs and optimizes machine learning architectures, including Decision Trees and Ensemble Methods, to solve specific engineering challenges.
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5 |
Analyzes and evaluates model performance through experimental methods like Monte Carlo simulations.
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6 |
Works effectively within a team to manage a data science project and communicates technical findings through oral presentations.
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7 |
Demonstrates the ability to adapt to emerging technologies in regularization and kernel methods through independent research.
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8 |
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9 |
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10 |
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