Machine Learning for Forecasting
Using ML models like gradient boosting, LSTMs, and transformer architectures to predict future values from time-series data.
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Why It Matters
AI-driven forecasting dramatically outperforms traditional methods for demand planning, financial projections, and resource allocation. Professionals who can build and interpret these models bridge the gap between raw predictions and business decisions.
How to Get Started
Start with Facebook Prophet for quick time-series forecasting, then progress to TensorFlow or PyTorch for building LSTM and transformer-based models.
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