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Artificial Intelligence
Free From Limitations: The Validation of Machine Hallucinations at MoMA
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August 31, 2023
0
Artificial Intelligence
Unleashing the Power of Multiple Timeseries Forecasting đź“Šđź’ˇ Create forecasts with Stats & ML methods. Stats Methods with StatsForecast ML Methods with MLForecast Forecast plots Validate Model’s Performance Plot CV Aggregate sales forecasts for all items Evaluate forecasts per store_item and CV window Distribution of errors Select Best Model Per Item_id & Cross Validation Fold We will find the perfect performing model per store_item (=item_id), evaluation metric & cross validation fold In what number of cross validation fold & metric is each model over performing best? What’s the perfect model for store_item=”1_1″ sales forecasting? Visualize the forecasts of the perfect model for unique_id == “1_1” Visualize AutoETS forecasts for more unique_ids Visualize XGBRegressor forecasts for more unique_ids Sources
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June 21, 2023
2
Artificial Intelligence
Ensuring Trustworthy ML Systems With Data Validation and Real-Time Monitoring
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June 3, 2023
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Artificial Intelligence
Introduction to PyTorch: from training loop to prediction Install PyTorch and other dependencies Import and explore the dataset Create the datasets and dataloaders classes Training, validation and test datasets Data normalization Neural network implementation in PyTorch Utility functions for plotting and accuracy calculation Model training Neural network performance evaluation Create predictions Conclusions Really useful Reads Useful Links (written by me)
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April 1, 2023
1
Artificial Intelligence
How the Generative AI Hype is Influencing the “Traditional” MLOps Stack A renewed emphasis on data Monitoring and validation will grow to be mainstream A resurgence of end-to-end platforms It’s greater than just hype.
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March 25, 2023
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