datapine

SEPTEMBER 27, 2022

Amongst the various topics that it covers, ”SQL Performance Explained” offers knowledge into: Correctly applying SQL functions Using indexes correctly How to use LIKE queries efficiently How to optimize join operations Data clustering Database scalability. 17) “SQL Database Programming” (2015 Edition) By Chris Fehily.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

The Unofficial Google Data Science Blog

APRIL 23, 2024

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.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

This is essentially the same as finding a truly useful objective to optimize. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. Depending on the average ad quality the different cohorts are exposed to, their willingness to interact with our ads changes over time.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Sisense supports a wide range of relational, NoSQL and big data sources.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). For the first couple of interactions, give her/him that data. Many reasons. It is easy to find.

Metrics 141

Metrics Reporting Analytics Marketing 141

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. 2015) for additional details. Conference on Knowledge Discovery and Data Mining, pp. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139