Data Science: The Hard Parts: Techniques for Excelling at Data Science
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| Publisher | O'Reilly Media |
| ISBN 13 | 9781098146474 |
| ISBN 10 | 1098146476 |
| Author | Daniel Vaughan |
| Language | English |
| Book Description | 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 t |
| About the Author | 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). In his free time he enjoys running, walking his dogs around Mexico City, reading, and playing music. |
| Publication Date | 2024-01-02 |
| Number of Pages | 248 pages |
Data Science: The Hard Parts: Techniques for Excelling at Data Science
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