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Data and AI

 

November 2023

 
 
 
 
 

Hello, Data and AI enthusiasts!


K-means clustering is one of the most popular unsupervised learning algorithms, a class of machine learning algorithms that can be used to find patterns in unlabeled data. Clustering algorithms work by classifying data into similar groups or clusters and labeling them so that they can be used for supervised learning. IBM watsonx.ai is an enterprise studio offering for AI builders that integrates all parts of the AI and Data Science lifecycle into one Hybrid Cloud platform for developers. In this month's newsletter, you'll find articles that explain the fundamentals of performing K-means clustering in Python or R by using IBM Watson Studio Jupyter Notebooks on watsonx.ai.

 
 
 

Spotlights

 
 

K-means clustering using R on IBM watsonx.ai

Learn the fundamentals of performing K-means clustering in R by using IBM Watson Studio Jupyter Notebooks on watsonx.ai.

 
 

K-means clustering using Python on IBM watsonx.ai

Learn the fundamentals of performing K-means clustering in Python by using IBM Watson Studio Jupyter Notebooks on watsonx.ai.

 
 

AI model training with PyTorch

Build, train, and optimize machine learning models for your AI applications.

 
 

An introduction to Presto, a query engine that powers watsonx.data

Learn about this distributed query engine for fast SQL-based data lake analytics.

 
 

Other items of interest


 
 
 
 

Events

 
 

Prestocon

 

5–6 December 2023; Mountain View, California

 
 
 
 

Generative AI for automating SAP Cloud deployment

 

On-demand webinar

 
 
 
 

Leveraging AI for Real-Time Event Processing

 

On-demand webinar

 
 
 
 

IBM Watson Assistant: Build Dynamic & Reliable Customer Experiences with AI

 

On-demand webinar