The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. In isolation, the $x_1$-system is optimal: changing $x_1$ and leaving the $x_2$ at 0 will decrease system performance.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Those are nice problems to have. Roll the clock out.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Sisense

APRIL 9, 2019

Whether the goal is to present data via simple visualizations, connect it to a robust BI tool, or anything else you want to do, having an open source option gives you the power and control you need to get the job done. Originally created in 2006, it’s one of the most popular open source BI tools. That’s something Hadoop excels at.

Analytics 75

Analytics Software IoT Big Data 75

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Often our data can be stored or visualized as a table like the one shown below. Cambridge University Press, (2006). [2] bandit problems). ICML, (2005). [3]

Modeling 40

Modeling Statistics Advertising Testing 40