Data Science: The Hard Parts
Techniques for Excelling at Data Science
$129.38
- Paperback
250 pages
- Release Date
17 November 2023
Summary
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the “big themes” of the discipline—machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one.
Taken as a whole, the lessons…
Book Details
| ISBN-13: | 9781098146474 |
|---|---|
| ISBN-10: | 1098146476 |
| Author: | Daniel Vaughan |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 250 |
| Release Date: | 17 November 2023 |
| Weight: | 446g |
| Dimensions: | 233mm x 178mm |
Daniel Vaughan
Daniel Vaughan is currently the Head of Data at Clip, the leading paytech company in Mexico. He is the author of Analytical Skills for AI and Data Science (O’Reilly, 2020). With more than 15 years of experience developing machine learning and more than eight years leading data science teams, he is passionate about finding ways to create value through data and data science and in developing young talent. He holds a PhD in economics from NYU (2011).
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