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Machine learning - IBM Developer
IBM Developer

Machine Learning

Teach systems to learn without them being explicitly programmed.

Machine learning is giving systems the ability to learn and improve without them being explicitly programmed.

21 January 2026

Article

High-performance SnapML preprocessing for machine learning on IBM Z

Boost machine learning performance on IBM Z with SnapML preprocessing that uses scikit learn pipelines, optimized C++ execution, efficient data transformations, graph feature engineering, and consistent training to production workflows for accurate and low latency enterprise inference.

High-performance SnapML preprocessing for machine learning on IBM Z

14 November 2025

Article

Calculating vector embeddings for semantic search and retrieval augmented generation (RAG)

Get started with LangChain4j, a Java library designed to simplify the integration of large language models (LLMs), and learn how to leverage its features for vector embeddings, semantic search, and generative AI applications.

Calculating vector embeddings for semantic search and retrieval augmented generation (RAG)

19 September 2025

Open Project

Scikit-learn

Repositories related to the scikit-learn Python machine learning library.

Scikit-learn

19 September 2025

Open Project

Transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Transformers

19 September 2025

Open Project

ONNX (Open Neural Network eXchange)

ONNX is an open ecosystem for interoperable AI models. It's a community project: we welcome your contributions!

ONNX (Open Neural Network eXchange)

19 September 2025

Open Project

TensorFlow

Open source project: TensorFlow

TensorFlow

19 September 2025

Open Project

Open Container Initiative (OCI)

Creating open standards around container technology

Open Container Initiative (OCI)

19 September 2025

Open Project

Open Mainframe Project

Home for technical activities hosted by the Open Mainframe Project.

Open Mainframe Project

19 August 2025

Article

From data to prediction: Building a robust predictive analytics pipeline

Predictive analytics pipelines empower teams to move from reactive to proactive operations. Developers must architect these systems to be efficient, transparent, and adaptable. By understanding the end-to-end flow of data, from raw data ingestion, through preprocessing and feature engineering, to PCA, to model deployment and prediction, developers can build solutions that provide valuable foresight, such as predicting employee stress before it impacts productivity.

From data to prediction: Building a robust predictive analytics pipeline

12 June 2025

Tutorial

Visualizing data on IBM watsonx.ai

create and customize data visualizations in Data Refinery on the IBM watsonx.ai platform.

Visualizing data on IBM watsonx.ai

25 April 2025

Article

Build machine learning models with and without AutoML

Look at two ways to build predictive models, both with and without the help of AutoAI.

Build machine learning models with and without AutoML

24 April 2025

Article

A beginner's guide to natural language processing

Get an introduction to natural language processing and learn how it can help us to converse more naturally with computers.

A beginner's guide to natural language processing
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Machine learning - IBM Developer