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

datapine

AUGUST 29, 2022

Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process. Try our big data analytics software for a 14-days free trial today!

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Finally, the time series model may give more accurate forecasts than an explanatory or mixed model.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? Typical product management and software engineering approaches simply don’t apply well to data practices.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site.

Metrics 123

Metrics Advertising Reporting Software 123