81,67 €
102,09 €
Vaughan, D: Data Science: The Hard Parts
81,67 € 
- Išsiųsime per 10–14 d.d.
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 in this b…
81.67
2025-06-29 23:59:00
/https://libri-media.knygos-static.lt/a7f48ba9-7043-4c58-8619-b978366f51fb/3)
- Autorius: Daniel Vaughan
- Leidėjas: O'Reilly Media
- Metai: 2023
- Puslapiai: 250
- ISBN-10: 1098146476
- ISBN-13: 9781098146474
- Formatas: 17.6 x 23.1 x 1.6 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
Atsiliepimai
Aprašymas
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 in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries. With this book, youEXTRA 20 % nuolaida
81,67 €
102,09 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG20
Akcija baigiasi už 4d.07:39:26
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Daniel Vaughan
- Leidėjas: O'Reilly Media
- Metai: 2023
- Puslapiai: 250
- ISBN-10: 1098146476
- ISBN-13: 9781098146474
- Formatas: 17.6 x 23.1 x 1.6 cm, minkšti viršeliai
- Kalba: Anglų
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 in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries. With this book, you
Atsiliepimai