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. Figure 4: Visualization of a central composite design. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Depict Data Studio

NOVEMBER 4, 2022

I published my first video on November 4, 2012…. Can I hire you to help me prep for the Excel tests that I’ll have to take as part of the hiring process?” ” I’d been a formal statistics tutor and Spanish tutor in college through a small invite-only program. I didn’t create the test!! Most Controversial.

Dashboards 75

Dashboards Testing Software Consulting 75

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. They tend to use less machine learning, but more advanced statistical practices, since the outcomes (government policies, etc.)

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 Chapter Introduction: Time Series and Autocorrelation. > attGarch.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

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. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood).

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

MARCH 3, 2019

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. Note how model visualization is bubbling up to the top, which has implications for model interpretability, cyber threats, etc. Seriously, Ben gets credit for foresight on how to organize those surveys.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

CIO Business Intelligence

FEBRUARY 3, 2023

Much of the work is accomplished by dragging and dropping components in a visual designer, but developers can also adjust the system-generated code in an IDE. IBM Cloud Pak for Business Automation , for example, provides a low-code studio for testing and developing automation strategies.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145