{"product_id":"time-series-forecasting-predicting-trends-with-ml-master-ml-for-finance-weather-and-demand-forecasting-9798265007537","title":"Time Series Forecasting Predicting Trends with ML: Master ML for finance, weather, and demand forecasting","description":"\u003cp\u003e • Author(s): Isandro Myles\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Machine Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhen data has a clock, everything changes. \u003cb\u003eTime Series Forecasting: Predicting Trends with ML\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003eYou'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.\u003c\/p\u003e\u003cp\u003eWhat you'll be able to do: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eFrame forecasting problems that match business goals (point, probabilistic, and scenario forecasts)\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild and compare ARIMA\/SARIMA, ETS, Prophet-style additive models, and state-space approaches\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEngineer time-aware features (lags, windows, Fourier terms, holidays, weather, prices)\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTrain ML models for sequences (gradient boosting, TFT\/Transformers) and avoid leakage traps\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEvaluate with rolling backtests; report MAPE\/WAPE\/SMAPE and calibration the right way\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eReconcile hierarchies, handle intermittent demand, detect changepoints, and stress-test robustness\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOperate at scale with automated pipelines, monitoring, and champion\/challenger deployment\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for analysts, engineers, quants, and builders, this is your practical guide to forecasts that are defendable, explainable, and useful on day one.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46332866691223,"sku":"9798265007537","price":1654.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798265007537.webp?v=1767715524","url":"https:\/\/atlanticbooks.com\/products\/time-series-forecasting-predicting-trends-with-ml-master-ml-for-finance-weather-and-demand-forecasting-9798265007537","provider":"Atlantic Books","version":"1.0","type":"link"}