Регрессия (Regression)
Наиболее общие оценочные метрики для регрессии
- средняя абсолютная ошибка - (Mean Absolute Error, MAE)
- среднеквадратическая ошибка - (Mean Squared Error, MSE)
- квадратный корень из среднеквадратической ошибки - (Root Mean Squared Error, RMSE)
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коэффициент детерминации - (R Squared Values Coefficient of determination, R2)
Linear Regression
https://docs.google.com/presentation/d/1HH-AawBoa6VtuZOOaN3oJNtbfodBpm63j6ddL1yS2PQ/edit
Simple Linear Regression. Minimal example
https://github.com/matematika-org/deep-learning-with-tensorflow-2.0/blob/master/01-Simple%20Linear%20Regression.%20Minimal%20example.ipynb
Simple Linear Regression. Minimal example with TensorFlow 2.0
https://github.com/matematika-org/deep-learning-with-tensorflow-2.0/blob/master/02-Simple%20Linear%20Regression.%20Minimal%20example%20with%20TensorFlow%202.0.ipynb
Spark
https://github.com/matematika-org/spark-and-python-for-big-data-with-pyspark/tree/master/10-Spark_for_Machine_Learning/01-Linear_Regression
Logistic Regression
https://docs.google.com/presentation/d/1gcb69QIVBJYvOkJyXCq-1TOaPxBhpZhIQLl1aMUeAds/edit#slide=id.p
Spark
https://github.com/matematika-org/spark-and-python-for-big-data-with-pyspark/tree/master/10-Spark_for_Machine_Learning/02-Logistic_Regression
Maximum likelihood estimation (MLE)
https://github.com/matematika-org/Machine-Learning-101-with-Scikit-learn-and-StatsModels/tree/master/6%20-%20Logistic%20Regression