Data Science for Supply Chain Forecasting (Paperback)

I Statistical Forecast Moving Average Forecast Error Exponential Smoothing Underfitting Double Exponential Smoothing Model Optimization Double Smoothing with Damped Trend Overfitting Triple Exponential Smoothing Outliers Triple Additive Exponential smoothing II Machine Learning Machine Learning Tree Parameter Optimization Forest Feature Importance Extremely Randomized Trees Feature Optimization Adaptive Boosting Exogenous Information & Leading Indicators Extreme Gradient Boosting Categories Clustering Glossary