Time series data is everywhere. Markets move, demand shifts, machines drift, users arrive and churn. LSTM networks give you a reliable way to read those patterns and predict what comes next. This book shows you how to do it with clean code, solid evaluation, and production-ready practices. You start with the essentials of sequence modeling and why LSTMs handle long-range dependencies better than plain RNNs. From there you build strong baselines, design sliding-window datasets, and choose the right loss and metrics for your ...
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Time series data is everywhere. Markets move, demand shifts, machines drift, users arrive and churn. LSTM networks give you a reliable way to read those patterns and predict what comes next. This book shows you how to do it with clean code, solid evaluation, and production-ready practices. You start with the essentials of sequence modeling and why LSTMs handle long-range dependencies better than plain RNNs. From there you build strong baselines, design sliding-window datasets, and choose the right loss and metrics for your problem. You will learn multivariate forecasting with exogenous signals, encoder-decoder and seq2seq setups, attention for harder horizons, and practical tricks like normalization, regularization, dropout, gradient clipping, and early stopping. You will also run proper backtests with walk-forward validation, compare against ARIMA and tree-based models, and quantify uncertainty so stakeholders can act with confidence. The projects are end to end in Python using Keras or PyTorch, with clear steps for data prep, feature engineering for seasonality and trend, hyperparameter tuning, model diagnostics, and error analysis. You will package and deploy models, monitor drift, retrain on schedule, and keep latency and cost under control. Case studies in finance, energy load, retail demand, sensors, and web traffic make the methods concrete. If you want forecasts you can trust, not just pretty charts, buy this book now and start shipping LSTM models that deliver.
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Add this copy of Time-Series Forecasting with LSTM: Predicting Trends in 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.
