Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1761Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Galea, Alex | - |
| dc.contributor.author | Capelo, Luis | - |
| dc.date.accessioned | 2026-08-04T05:12:17Z | - |
| dc.date.available | 2026-08-04T05:12:17Z | - |
| dc.date.issued | 2018-08 | - |
| dc.identifier.isbn | 978-1-78980-474-4 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1761 | - |
| dc.description.abstract | This Learning Path takes a step-by-step approach to teach you how to get started with data science, machine learning, and deep learning. Each module is designed to build on the learning of the previous chapter. The book contains multiple demos that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 131082018; | - |
| dc.subject | Applied Deep Learning with Python | en_US |
| dc.title | Applied Deep Learning with Python | en_US |
| dc.title.alternative | Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Applied Deep Learning with Python-1.pdf | 8.54 MB | Adobe PDF | View/Open |
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