Applied math for data science.
With the availability of data, there is a growing demand for talent who can analyze and make sense of it. This makes practical math all the more important because it helps infer insights from data. However, mathematics comprises many topics, and it is hard to identify which ones are applicable and r...
Clasificación: | Libro Electrónico |
---|---|
Formato: | Electrónico Video |
Idioma: | Inglés |
Publicado: |
[Place of publication not identified] :
O'Reilly Media, Inc.,
[2023]
|
Edición: | [First edition]. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Essential math for data science : take control of your data with fundamental linear algebra, probability, and statistics /
por: Nield, Thomas (Computer programmer)
Publicado: (2022) -
Podstawy matematyki w data science : algebra liniowa, rachunek prawdopodobieństwa i statystyka /
por: Nield, Thomas (Computer programmer)
Publicado: (2023) -
Data science revealed : with feature engineering, data visualization, pipeline development, and hyperparameter tuning /
por: Nokeri, Tshepo Chris
Publicado: (2021) -
Machine learning for data mining : improve your data mining capabilities with advanced predictive modeling /
por: Salcedo, Jesus
Publicado: (2019) -
Data Mining and Machine Learning in Building Energy Analysis.
por: Fr©¡a℗Œd©¡a℗Œric Magoules
Publicado: (2016)