References
For additional reading, check out the following books and articles:
- AI with data flows (https://docs.microsoft.com/en-us/power-bi/transform-model/dataflows/dataflows-machine-learning-integration)
- A Review of Azure Automated Machine Learning (AutoML) (https://medium.com/microsoftazure/a-review-of-azure-automated-machine-learning-automl-5d2f98512406)
- Automated Machine Learning with Microsoft Azure, by Dennis Michael Sawyers, Packt Publishing (https://www.amazon.com/Automated-Machine-Learning-Microsoft-Azure/dp/1800565313/)
- A Gentle Introduction to Concept Drift in Machine Learning (https://machinelearningmastery.com/gentle-introduction-concept-drift-machine-learning/)
- Machine Learning Basics with the K-Nearest Neighbors Algorithm (https://towardsdatascience.com/machine-learning-basics-with-the-k-nearest-neighbors-algorithm-6a6e71d01761)
- Python's «predict_proba» Doesn't Actually Predict Probabilities (and How to Fix It) (https...
