This blog post contains an extract of a Jupyter Notebook and shows a way how to create a new DataFrame by building an extraction of two specific columns and their values of an existing DataFrame.
How to convert XML data to CSV in a Jupyter Notebook with Python?
This blog post contains an extract of a Jupyter Notebook related to how to convert XML data to comma separated value in a Jupyter Notebook.
Cheat Sheet: Get started with Data Science and Python
This blog post is a short cheat sheet when it comes to getting started with data science and Python and is not a full list.
Some thoughts about ChatGPT and AI
Everyone is now talking about this new way of using AI in an interactive form of communication. When we talk about free or open and AI, these three questions immediately came to my mind: “If you're not paying for the product, then you are the product.” That's a quote from Daniel Hövermann in The Social Dilemma. What will be the business model? "Will my Job be replaced?" "Can I trust, and what is my remaining responsibility?"
Cheat sheet on some of the available parameters for regular expressions
This is a short cheat sheet on the available parameters for regular expressions.
Cheat sheet for some special characters on a Mac
Cheat Sheet: Most of the Mac users know the challenge: "Finding a special character on a Mac keyboard isn't easy on a Mac sometimes."
How to create a model container image for Watson NLP for Embed
This longer blog post shows how to : … build a model init container with a custom model for Watson NLP for Embed. … upload the model init container to the IBM Cloud container registry. … deploy the model init container and the Watson NLP runtime to an IBM Cloud Kubernetes Cluster. … test Watson NLP runtime with the loaded model using the REST API.
Assign read/write permission to all users for unzipped custom model files and folders
This is a short blog post about assigning read/write permissions for all users to the unpacked "custom model files and folders".
Watson NLP for Embed customize a classification model and use it on your local machine
This blog post is about, how to customize a classification model for Watson NLP for Embed and use it on your local machine.
Run Watson Speech to Text for Embed on an IBM Cloud Kubernetes cluster in a Virtual Private Cloud environment
This blog post is about to deploy the IBM Watson Speech to Text Library for Embed to an IBM Cloud Kubernetes cluster. IBM Cloud Kubernetes cluster is a “certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud“.
