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Artificial Intelligence
Generating Song Recommendations Introduction Goal Data Pipeline Summarization Model Description Comparison Musical Feature Comparison User Flow Results Conclusion and Future Works
Jaykumar Patel, Janvi Patel, Aniketh Devarasetty, Malvika Vaidya, Seann Robbins, Tanner HudnallIn this text, we'll showcase our initial attempts at making a song suggestion model. We'll give an outline of our dataset and the...
Artificial Intelligence
Ensuring AI works with the precise dose of curiosity
It’s a dilemma as old as time. Friday night has rolled around,...
Artificial Intelligence
Detecting data drift to observe ML models in production (using Evidently library in Python) What’s data drift and why should we detect that ? Tips on...
Data drift occurs when the statistical properties of the input data change over time, resulting in a shift in the info distribution.Note:With default logic, z test is used for goal and KS test is...
Artificial Intelligence
Linear Discriminant Evaluation (LDA) Can Be So Easy How it really works — the maths behind it Exploring the plot Final remarks
An Interactive Visualisation for You to Experiment WithSo given the LDA boundary, we will make classifications. But how can we draw the boundary line using the LDA algorithm?The road divides the plot where the...
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