Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni and V Adithya Krishnan
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Fulfillment optionsTime Series Algorithms Recipes
- Implement various techniques in time series analysis using Python.
- Utilize statistical modeling methods such as AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average) and ARIMA (autoregressive integrated moving-average) for time series forecasting
- Understand univariate and multivariate modeling for time series forecasting
- Forecast using machine learning and deep learning techniques such as GBM and LSTM (long short-term memory)
Details
- Publisher
- Apress
- Authors
- Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
- Format
- Paperback
- Published
- Dec 24, 2022
- ISBN-13
- 9781484289778
- Pages
- 174
- Printing
- Printed on demand
Time Series Algorithms Recipes for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $26.59 | 30% off list |
| 100 – 249 | $25.83 | 32% off list |
| 250 – 499 | $25.07 | 34% off list |
| 500 – 999 | $24.31 | 36% off list |
| 1,000+ | $23.55 | 38% off list |
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Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
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