English
- استرجاع مجاني وسهل
- أفضل العروض
المواصفات
| الناشر | O'Reilly Media |
| رقم الكتاب المعياري الدولي 13 | 9781098146474 |
| رقم الكتاب المعياري الدولي 10 | 1098146476 |
| الكاتب | Daniel Vaughan |
| اللغة | English |
| وصف الكتاب | 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 |
| عن المؤلف | 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. |
| تاريخ النشر | 2024-01-02 |
| عدد الصفحات | 248 pages |
Data Science: The Hard Parts: Techniques for Excelling at Data Science
تمت الإضافة لعربة التسوق
مجموع السلة 0.00 ر.س.
