Rapaka Ravindra (12 results)
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 25.47
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- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 28.08
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 28.08
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Condition: New.
- Softcover
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
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£ 31.78
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Paperback or Softback. Condition: New. Modern Time Series Forecasting with Python: Exploring statistical models, machine learning, and deep learning for cutting-edge time series forecasting. Book.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 32.73
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Condition: New.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 33.45
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UNK. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 31.45
£ 8.49 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
UNK. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 28.09
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 32.20
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Condition: New.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 48.43
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Taschenbuch. Condition: Neu. Neuware - Time series forecasting is driving decision-making in everything from financial markets to supply chain logistics. This book provides a hands-on roadmap to mastering this technology, bridging the gap between classical statistical rigor and cutting-edge artificial intelligence. Understand ti…me series fundamentals by exploring decomposition, stationarity, and ACF/PACF analysis before mastering preprocessing and feature engineering. You will build foundational ARIMA, SARIMA, and Holt-Winters' models before pivoting to machine learning with XGBoost and Scikit-learn. The journey accelerates into deep learning, designing RNNs, LSTMs, and hybrid CNN-LSTM architectures for univariate and multivariate forecasting. After exploring advanced VAR and VECM models, you will implement walk-forward validation and professional error metrics. The final sections cover scalability and MLOps, teaching you to handle big data with Dask and deploy production-ready models via FastAPI and Apache Kafka. By the end of this book, you will be a competent practitioner capable of building high-performance forecasting pipelines for stock prices, demand, and sensor data. You will possess the technical expertise to deploy scalable, ethical, and accurate models in real-world cloud environments with confidence.What you will learn? Diagnose trend and seasonality using Statsmodels stationarity.? Build ARIMA/SARIMA and smoothing models using Statsmodels.? Engineer lag, rolling, and calendar-based forecasting features.? Deploy FastAPI pipelines and monitor Kafka drift.? Build LSTM and GRU architectures with TensorFlow.? Backtest, compare, and ensemble models with confidence.? Deploy, monitor, and retrain forecasting pipelines at scale.Who this book is forThis book is designed for data scientists, machine learning engineers, and analysts mastering temporal data. Proficiency in Python and basic statistics is required, while experience with cloud deployment or deep learning helps professional engineers scale models using the featured technical frameworks.Table of Contents1. Introduction to Time Series Data and Analysis2. Data Pre-processing and Feature Engineering3. Exploratory and Statistical Analysis of Time Series4. Autoregressive Models5. Moving Average and ARMA Models6. ARIMA and SARIMA Models7. Exponential Smoothing Methods8. Feature-based Machine Learning for Time Series Forecasting9. Introduction to Deep Learning for Time Series10. Building and Training LSTM Models for Time Series11. Advanced Deep Learning Architectures and Multivariate Forecasting12. Multivariate Time Series Forecasting13. Model Evaluation, Selection, and Ensembling14. Forecasting at Scale and Model Deployment15. Time Series Forecasting in Practice.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 21.14
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 21.11
£ 8.51 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
