O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

Management 332

Management Machine Learning Experimentation Metrics 332

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous pipeline monitoring with SPC (statistical process control). If you’ve created a useful reporting process or dashboard segment, no one need ever waste time reinventing it.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Experimentation & Testing (A/B, Multivariate, you name it). Benchmarking (exactly how you can do it), impactful actionable executive dashboards (what they should contain), creating a data driven organization.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Cloudera

NOVEMBER 25, 2020

How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? An integrated, out of the box visualization and dashboard service that is integrated across multiple compute options, to expedite cross-organization collaboration with a consistent visual language.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Occam's Razor

JANUARY 9, 2012

" "My dashboard should have Page Views and Exit Rate!" Lack of loyalty shows simply re-publishing AP stories is useless. AND you can have analysis of your risk in almost real time to get an early read and in a few days with statistical significance! "Count Impressions, in real time!" We expect more.

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 61

Experimentation Testing Statistics Metrics 61