Forecasting
Artificial Intelligence
Announcing PyCaret 3.0 — An open-source, low-code machine learning library in Python In this text: Introduction 📈 Stable Time Series Forecasting Module 💻 Object Oriented API 📊 More options...
Exploring the Latest Enhancements and Features of PyCaret 3.0# print pipeline stepsprint(exp1.pipeline.steps)print(exp2.pipeline.steps)PyCaret 2 can mechanically log experiments using MLflow . While it continues to be the default, there are more options for experiment logging...
Artificial Intelligence
Recent products forecasting : Get out of the blur quicker with machine learning ! Recent products introduction is vital topic in Supply Chain management A Machine...
Supply Chain professionals describe the present business environment with 4 drivers : olatility, ncertainty, omplexity and mbiguity (). Firms are working on gaining and adapt their products to behavioral changes, not to...
Artificial Intelligence
Forecasting potential misuses of language models for disinformation campaigns and reduce risk
As generative language models improve, they open up recent possibilities in fields as diverse as healthcare, law, education and science. But, as with every recent technology, it's value considering how they will be misused....
Artificial Intelligence
Model Evaluation in Time Series Forecasting
Introducing backtesting for time series using the Skforecast libraryBelow, there are the three described backtesting methods with a random forest regressor used as autoregression.When taking a look at the implementation, the difference between the...
Artificial Intelligence
Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption Problem Preprocessing Training the Models Evaluation Preprocessing Weather Data Conclusion & Future Steps
The weather data improve the performance in each models by a major margin. Particularly, within the XGBoost scenario the MAE is reduced by almost 44%, while the MAPE moved from 19% to 16%. For...
Artificial Intelligence
Forecasting Potential Misuses of Language Models for Disinformation Campaigns—and The right way to Reduce Risk
OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Web Observatory to analyze how large language models may be misused...
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