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Data Science for Engineering: Principles, Tools, and Applications Across Disciplines Yassine Benachour
Data Science for Engineering: Principles, Tools, and Applications Across Disciplines
Yassine Benachour
Data Science for Engineering offers a practical introduction to modern data science for engineering students and professionals. It covers Python-based analysis, statistics, machine learning, and deep learning, supported by realistic datasets and Jupyter notebooks. No prior computer science background required.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| To be released | April 1, 2027 |
| ISBN13 | 9781041276265 |
| Publishers | Taylor & Francis Ltd |
| Pages | 416 |
| Dimensions | 150 × 220 × 10 mm · 625 g (Weight (estimated)) |
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