Alation

SEPTEMBER 28, 2022

Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. In DataOps, data analytics performance is primarily measured through insightful analytics, and accurate data, in robust frameworks. Value working analytics.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

JULY 24, 2018

I’ve intended to create a simple visual that absorbs the scale, complexity and many moving parts. To name a few: Digital Marketing & Measurement Model | Analytics Ecosystem | Web Analytics 2.0. During a discussion around planning for measurement, a peer was struggling with a unique collection of challenges. Assess, reality.

Analytics 93

Analytics Metrics Strategy Measurement 93

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

Darkhorse

NOVEMBER 8, 2016

There is a near infinite variety of visualization methods within our field. FlowingData has given us 9 ways to visualize proportions and 11 ways for changes over time. Strip plots in the flesh: NPR looks at school funding The LA Times on pop music’s evolution Eurostat’s key European statistics Jittered Strip Plot.

Visualization 72

Visualization Experimentation Measurement Statistics 72

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. These measurement-obsessed companies have an advantage when it comes to AI.

Management 110

Management Machine Learning Experimentation Metrics 110

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data?

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. Note also that this account does not involve ambiguity due to statistical uncertainty. We sliced and diced the experimental data in many many ways.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45