Subject archive for "python"
OpenAI demonstrated the profound impact generative AI could have. Such techniques turn datasets into transformative tools and products. Tangible AI projects that are both inspiring and can save your company time and money. Better yet, you are in a good position to aim high.
By Thomas Dinsmore and Yuval Zukerman5 min read
A picture is worth 1000 words, so let's get right into exploring Domino Code Assist (DCA). As I mentioned in my prior blog, with DCA you can import a dataset, make a few data visualizations, and deploy those data visualizations as a Python data app - all through a point-and-click interface. At the end of this, you have a perfectly executable Python or R script that follows the steps that you took in the UI.
By Jack Parmer3 min read
It's becoming clear that the traditional “citizen data scientist” approach, focusing on no-code tools, has become an evolutionary dead end. Organizations who have pursued this route have little to show beyond PoCs and one-off successes despite years of investment in training and underutilized, proprietary tools. The best that can be said is that these efforts have been a costly way of democratizing data prep and business intelligence. In reality, they have been a step in the wrong direction for analytics and data science maturity.
By Kjell Carlsson7 min read
Convolutional Neural Networks (CNNs and also ConvNets) is a class of Neural Networks typically used for image classification (mapping image data to class values). At a high level, CNNs can be viewed simply as a variant of feedforward networks, but they have a number of advantages in comparison to more traditional algorithms for analysing visual imagery.
By Nikolay Manchev13 min read
With data being quoted as the oil of the 21st century and data science being labeled as the sexiest job of the century, we're seeing a sharp rise in data science and machine learning applications in every field. In IT, finance, and business, predictive analytics is disrupting every industry.
By Richard Ecker8 min read
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