Fuze to provide best-in-class mobile experience, superior call quality, and real-time network monitoring
Fuze, the leading cloud-based communications provider for the modern global enterprise, will replace the 20 year-old legacy infrastructure for the Los Angeles Angels with a cloud-based solution to enhance workflow efficiencies and improve call quality across the organization, which will ultimat
Are you thinking about the quality of your email list? Or do you want to make sure your subscribers are intending to read the email marketing you send out?
You may have found your answer in double opt-in, which is a process that ensures the best experience for your subscribers. Rather than single opt-in, double opt-in offers an extra step in the verification process.
The name reflects the products’ exceptional taste and quality, as well as the company’s dedication to impact the continent of Africa
New York City brand naming agency River + Wolf is proud to announce its role in developing the brand name, Beyond Good, for the Direct Trade chocolate company formerly known as Madécasse.
Analyzing the quality of your software is crucial to any business. The process appears towards the end of your software development lifecycle but indeed decides the fate of it. In other words, quality analysis demonstrates a process in which the actual output of the software is tested with its expected output.
Read Full StoryThere are different types of data mining models, so definition of good quality model will depend of type of the model. Good explanatory model must be able to explain some facet of the business problem. Purpose of describtive models is to extract the patterns in the data that are non-trivial, unknown, potentially useful and actionable.
Read Full StoryThough air quality is always a concern, other than a few hazy days, very few of us have been directly affected by the fires. Homelessness remains a huge problem on a humanitarian level, but the streets do not run with sewage, used needles do not litter the sidewalks and the housed do not cower in fear.
Read Full StoryProof of concept of how to use Scala, Spark and the recent library Sparkz for building production quality machine learning pipelines for predicting buyers of financial products.
The pipelines are implemented through custom declarative APIs that gives us greater control, transparency and testability of the whole process.
Imagine you’re building a recommendation algorithm for your new online site. How do you measure its quality, to make sure that it’s sending users relevant and personalized content? Click-through rate may be your initial hope…but after a bit of thought, it’s not clear that it’s the best metric after all.
Take Google’s search engine.
The need for anomaly and change detection will pop up in almost any data driven system or quality monitoring application. Typically, there are set of metrics that need to be monitored and an alert raised if the values deviate from the expected.
Read Full StoryScanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.
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