Agile data science 2.0 building full-stack data analytics applications with Spark
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science devel...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Beijing, [China] :
O'Reilly
2017.
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| Edition: | First edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630123206719 |
Table of Contents:
- Part I. Setup. Theory
- Agile tools
- Data
- Part II. Climbing the pyramid. Collecting and displaying records
- Visualizing data with charts and tables
- Exploring data with reports
- Making predictions
- Deploying predictive systems
- Improving predictions.
