Practical time series analysis (Record no. 76284)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01578nam a2200133 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789352139255 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.55 |
| Item number | NIE/P |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Nielsen, Aileen |
| 245 ## - TITLE STATEMENT | |
| Title | Practical time series analysis |
| Remainder of title | prediction with statistics & Machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai |
| Name of publisher | Shroff |
| Year of publication | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 480 p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | <br/><br/>Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization 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.<br/><br/>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 challenges in 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.<br/><br/>You'll get the guidance you need to confidently: <br/><br/> Find and wrangle time series data <br/> Undertake exploratory time series data analysis <br/> Store temporal data <br/> Simulate time series data <br/> Generate and select features for a time series <br/> Measure error <br/> Forecast and classify time series with machine or deep learning <br/> Evaluate accuracy and performance<br/><br/> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | Collection code | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Stack | Kannur University Central Library | Kannur University Central Library | Stack | 10/07/2024 | 1750.00 | 519.55 NIE/P | 68225 | BK |