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Seminar on application of Machine Learning Algorithm in Civil Engineering
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- Purpose:
- Introduced students to the application of machine learning (ML) algorithms in civil engineering.
- Focused on the prediction of compressive strength, a critical factor in material performance and construction quality.
- Content and Customization:
- Ashish provided insights into the growing significance of AI and ML technologies within civil engineering, especially in material analysis and project optimization.
- Cezzane demonstrated the use of Multiple Linear Regression as the selected algorithm, guiding students through the data science process for predicting compressive strength.
- Key Takeaways:
- Understanding of ML’s role in civil engineering, particularly for predictive analysis.
- Hands-on demonstration of multiple linear regression, showing its application to compressive strength prediction.
- Practical exposure to data science concepts that enhance engineering practices through ML.
Additional Details
Speakers - Ashish Shetty, Cezzane Khan