Ebook: Data Science
Author: Kelleher John D., Tierney Brendan
- Tags: Analyse des données, Apprentissage automatique, Données massives, Données volumineuses, Exploration de données, Exploration de données (Informatique), Recherche quantitative, Données massives
- Series: MIT Press essential knowledge series
- Year: 2018
- Publisher: The MIT Press
- City: Cambridge;Massachusetts
- Language: English
- epub
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.
The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.
It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep...