O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 244

Machine Learning Technology Deep Learning Data Science 244

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies.

Optimization 154

Optimization Reporting Experimentation Metrics 154

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Sisense

MAY 4, 2020

“Soon, data itself will become a primary product for nearly every business, and data analytics (some use the loose term “AI”) will form the core of every company’s business model. Nearly every product on the market will be forced down one of two paths, becoming either ‘smart’ (i.e., analytics- and data-driven) or obsolete. ”.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. If you’ve enjoyed the efficiency of rich snippets, you’ve enjoyed the riches schema.org ( based on RDF ) brings to the world of search since 2011.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. What’s been the impact of using ML models on culture and organization?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

APRIL 25, 2011

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " 27: You are going crazy with SEO optimization.

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

APRIL 17, 2017

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

JUNE 28, 2011

Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Perhaps your client did not provide you with the all important Web Analytics Measurement Model. You: The person responsible for "providing data" / "analyzing metrics" / "reporting." That was success?

Metrics 126

Metrics Measurement Key Performance Indicator Reporting 126

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. The panel methodology is based on the traditional television data capture model.

Metrics 123

Metrics Advertising Reporting Software 123

IBM Big Data Hub

NOVEMBER 20, 2023

According to a 2023 International Data Corporation (IDC) report (link resides outside ibm.com), NVMe was designed to speed data transfer to systems connected via a PCI express, a serial expansion bus that’s standard for connecting a computer to one or more peripheral devices. What is NVMe?

Internet of Things 64

Internet of Things Enterprise Technology IoT 64

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We need to know whether the decision we are optimizing is significant enough to justify the time and experiment resources spent optimizing it. Selection bias played a notable role in the discussion of the avian influenza outbreak of 2011 during which the reported case fatality rate was as high as 80% [2].

Experimentation 61

Experimentation Testing Statistics Metrics 61