Nielsen, Aileen
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
- ISBN 13:
- 9781492041658
- author:
- Nielsen, Aileen
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2019
- Pages:
- 400
- Dimensions:
- 23.3 x 17.8 centimetres (0.67 kg
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Time series data analysis is becoming increasingly important as more data is generated through the internet of things, digital healthcare, and smart cities. As continuous monitoring and data collection become more common, competent time series analysis with both statistical and machine learning techniques will be essential. This practical guide covers innovations in time series data analysis and real-world use cases, providing a well-rounded introduction to time series analysis in R and Python. You'll learn how to find and wrangle time series data, undertake exploratory analysis, simulate data, generate features, measure error, forecast and classify time series using machine learning techniques. With this book, you'll be able to confidently tackle common data engineering and analysis challenges in time series, making it an ideal resource for data scientists, software engineers, and researchers.
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