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Practical Time Series Analysis : Prediction With Statistics and Machine Learn...

Description: Practical Time Series Analysis : Prediction With Statistics and Machine Learning, Paperback by Nielsen, Aileen, ISBN 1492041653, ISBN-13 9781492041658, Brand New, Free shipping in the US

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the ization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.

Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.

You’ll get the guidance you need to confidently:

  • Find and wrangle time series data
  • Undertake exploratory time series data analysis
  • Store temporal data
  • Simulate time series data
  • Generate and select features for a time series
  • Measure error
  • Forecast and classify time series with machine or deep learning
  • Evaluate accuracy and performance

Price: 60.6 USD

Location: Jessup, Maryland

End Time: 2024-11-09T09:42:59.000Z

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Practical Time Series Analysis : Prediction With Statistics and Machine Learn...

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Book Title: Practical Time Series Analysis : Prediction With Statistics and M

Number of Pages: 497 Pages

Publication Name: Practical Time Series Analysis : Prediction with Statistics and Machine Learning

Language: English

Publisher: O'reilly Media, Incorporated

Subject: Data Modeling & Design, Intelligence (Ai) & Semantics, General, Data Processing

Item Height: 1.2 in

Publication Year: 2019

Type: Textbook

Item Weight: 30.4 Oz

Author: Aileen Nielsen

Subject Area: Mathematics, Computers

Item Length: 9.2 in

Item Width: 7 in

Format: Trade Paperback

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