When data has a clock, everything changes. Time Series Forecasting: Predicting Trends with ML shows you how to turn noisy historical data into reliable, decision-ready forecasts-for finance, weather, energy, retail demand, traffic, sensors, and more. No mystique, no hand-waving-just the tools, patterns, and trade-offs that actually work in production. You'll learn the full playbook: build solid baselines, add seasonality and holiday effects, bring in external drivers, and graduate to advanced ML and deep learning when it ...
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When data has a clock, everything changes. Time Series Forecasting: Predicting Trends with ML shows you how to turn noisy historical data into reliable, decision-ready forecasts-for finance, weather, energy, retail demand, traffic, sensors, and more. No mystique, no hand-waving-just the tools, patterns, and trade-offs that actually work in production. You'll learn the full playbook: build solid baselines, add seasonality and holiday effects, bring in external drivers, and graduate to advanced ML and deep learning when it truly adds lift. You'll backtest honestly, quantify uncertainty, and communicate results so stakeholders can act with confidence. What you'll be able to do: Frame forecasting problems that match business goals (point, probabilistic, and scenario forecasts) Build and compare ARIMA/SARIMA, ETS, Prophet-style additive models, and state-space approaches Engineer time-aware features (lags, windows, Fourier terms, holidays, weather, prices) Train ML models for sequences (gradient boosting, TFT/Transformers) and avoid leakage traps Evaluate with rolling backtests; report MAPE/WAPE/SMAPE and calibration the right way Reconcile hierarchies, handle intermittent demand, detect changepoints, and stress-test robustness Operate at scale with automated pipelines, monitoring, and champion/challenger deployment Written for analysts, engineers, quants, and builders, this is your practical guide to forecasts that are defendable, explainable, and useful on day one.
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Add this copy of Time Series Forecasting Predicting Trends with ML: to cart. $13.68, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
