erwin
JULY 30, 2020
ArchiMate is an enterprise architecture (EA) modeling language from The Open Group and used to communicate an organization’s enterprise architecture. Pronounced “ AR-ki-mayt” , the modeling language’s name comes from a compounding of “ archi tecture” and “ani mate.” The idea being that this makes the standard easier to learn and apply.
Smarten
JUNE 17, 2022
It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. After completion of the testing procedure, the certificate is provided to show that all requirements were met.
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Jen Stirrup
FEBRUARY 1, 2023
The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.
Sisense
MAY 26, 2020
While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct. Using the semantic meaning of words it already knows as a base, the model can understand the meanings of words it doesn’t know that appear in test data.
O'Reilly on Data
OCTOBER 11, 2022
Selenium , the first tool for automated browser testing (2004), could be programmed to find fields on a web page, click on them or insert text, click “submit,” scrape the resulting web page, and collect results. But the core of the process is simple, and hasn’t changed much since the early days of web testing. What’s required?
Cloudera
DECEMBER 12, 2018
And it [MPP] is a much more efficient execution model. Say, circa 2004 when I started at Oracle. So if you had a terabyte or more of data in your Oracle data warehouse, you were a big customer in 2004. And one of the systems that I worked on benchmarking in 2004 was 70 terabytes. you name it. There are no restrictions.
The Unofficial Google Data Science Blog
MARCH 22, 2018
An experimenter, once their candidate product change is ready for testing, often needs only to write a few lines of configuration code to begin an experiment. This greatly simplifies our situation, and makes full conditional observable or conditional compliance modeling approaches unnecessary [1].
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