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]. We use this knowledge to define objective functions to optimize our ads system with a view towards the long-term.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

The Unofficial Google Data Science Blog

JULY 22, 2020

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. 2015): 37-45. [3] An efficient bandit algorithm for realtime multivariate optimization." Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2] Scott, Steven L.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Rita Sallam

JULY 22, 2016

These intentions are also reflected in Gartner’s previous webinar poll results in March and in our 2015 market share results, which show a 63% growth in Modern BI market growth versus a 1.7% decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ).

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps and IBM Watsonx.ai

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Limitations Second order calibration, like ordinary calibration, is intended to be easy and useful, not comprehensive or optimal, and it shares some of ordinary calibration’s limitations. Both methods can be wrong for slices of the data while being correct on average, since they only use the covariate information through $t$.

KDD 40

KDD Testing Machine Learning Measurement 40