Remove 2017 Remove Data mining Remove Optimization Remove Visualization
article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

article thumbnail

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

article thumbnail

What Is Data Intelligence?

Alation

Data catalogs then integrate compliance at the point of consumption, so people are alerted to sensitive data where it lives. Source: “What’s Your Data Strategy?” HBR Review May/June 2017. Data Intelligence and Metadata. Data intelligence is fueled by metadata. Data lineage features. Data quality.