Generative Data Intelligence

Tag: notebooks

This AI is learning how to replicate your childish penis drawings

Look at all those 'Richards.' Image: DICKRNN GITHUB By Anna Iovine2020-04-25 15:17:55 UTC Bored? You can draw crude dicks like you did...

The Imandra Automated Reasoning System (system description). (arXiv:2004.10263v1 [cs.LO])

Download PDF Abstract: We describe Imandra, a modern computational logic theorem prover designed to bridge the gap between decision...

Deploying PyTorch models for inference at scale using TorchServe

Many services you interact with today rely on machine learning (ML). From online search and product recommendations to speech recognition and language translation,...

Discover archetypes in your data records

Use Watson services and Jupyter Notebooks to find meaningful archetypes in your records and classify new records against this set of archetypes.

Monitor your machine learning models using Watson OpenScale in IBM Cloud Pak for Data

In this code pattern we demonstrate a way to monitor your AI models in an application using Watson OpenScale in IBM Cloud Pak for Data. This will be demonstrated with an example of a Telecomm Call Drop Prediction Model.

Predict, manage, and monitor the call drops of cell towers using IBM Cloud Pak for Data

In this code pattern we demonstrate how to create a model to predict call drops. With the help of an interactive dashboard, we use a time series model to better understand call drops. As a benefit to telecom providers and their customers, it can be used to identify issues at an earlier stage, allowing more time to take the necessary measures to mitigate problems.

Searching for the Uncanny Valley

Your eyes are smolderingAs they look up at me devilishly;Don’t be so full of accusations,After all, a delicacy is a delicacy,And your eyes,...

Data Science: From Algorithms to Production

Almost every company has a data science team. As a team lead, it is your responsibility to make the team effective, that is,...

Monitor Azure machine learning with Watson OpenScale

Summary This code pattern uses fictional sales data to create a logistic regression model using Azure. The pattern uses Watson OpenScale to bind...

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