Smart Data Collective

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 210

Modeling Finance Uncertainty Data mining 210

The Unofficial Google Data Science Blog

APRIL 23, 2024

Springer New York, 2006. [17] Journal of Machine Learning Research, 17(83):1–5, 2016. [23] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM ’13, page 123–132, New York, 2013. [28]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52