The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. This algorithm is implemented in the SuperLearner R package (Polley & van der Laan, 2014). The largest estimated error in these integrals was around 0.3

Statistics 44

Statistics Optimization Modeling Experimentation 44

IBM Big Data Hub

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

Machine Learning 117

Machine Learning Data-driven Software Testing 117

CIO Business Intelligence

OCTOBER 11, 2023

When you look at the customer journey, many companies say they’re customer obsessed, but you bring that into the DNA by looking at the input metrics that impact the customer experience, not the output metric. Because if you start looking at output metrics that impact the customer experience, it’s too late.

Digital Transformation 78

Digital Transformation Metrics Optimization Strategy 78

Domino Data Lab

DECEMBER 2, 2020

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. To test out DBSCAN, I’m going to use a dataset consisting of annual customer data for a wholesale distributor. Application. Why does this happen?

Metrics 116

Metrics KDD Testing Machine Learning 116

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. On 8 July 2014, Brazil suffered its worst ever defeat at the hands of Germany, losing 7-1 in the World Cup semifinal. This data allows them to identify, change, and test the effectiveness of typical passages of play.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. This situation can quickly pose a dilemma for the chief data officer.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

datapine

FEBRUARY 23, 2023

To get a clearer impression, here is a visual overview of which chart to select based on what kind of data you need to show: **click to enlarge** Your Chance: Want to test modern data visualization software for free? The metrics are different and useful independently, but together, they tell a compelling story.

Visualization 177

Visualization Dashboards Sales Measurement 177

Domino Data Lab

AUGUST 22, 2019

At the time—in 2014—the three were colleagues working. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. Lieferando is a European online food-ordering service that was acquired by Just Eat Take Away in 2014.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Depict Data Studio

APRIL 10, 2023

Apply the Squint Test In these before scatter plot on the left, the cluttered appearance distracts us from the data. Apply the Squint Test. I like to test my drafts ahead of time to make sure they’ll still be legible even if they’re printed in grayscale. You can test your drafts a couple of different ways.

Visualization 105

Visualization Dashboards Testing Reporting 105

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

NOVEMBER 18, 2014

You can hover over each box to get a sense of the key metrics. The graph below shows the predictions of what would have happened if aggressive intervention started in June 2014. A couple other things, including the lead-gen form itself, which we would test to improve performance. We know the optimization that is required.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. Visitor/Audience Type Profile Analysis.

Metrics 155

Metrics Reporting IT Advertising 155

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome).

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. In the past decade, a lot of ideas and technologies have come out of the DevOps movement: the source repository as the single source of truth, rapid automated deployment, constant testing, and more.

Machine Learning 363

Machine Learning Software Testing Technology 363

O'Reilly on Data

NOVEMBER 7, 2019

The danger is that online advertising is searching for engagement and virality, and it’s much easier to maximize engagement metrics with faked extreme content. We’d add a fourth suggestion: social media companies should not pass any video on to their consumers until it has been tested, even if that delays posting.

Advertising 150

Advertising Metadata Technology Software 150