Intel® Extension for Scikit-learn* Tutorials & Case Studies

Explore the tutorials & case studies to help you to harness the full potential of Intel® Extension for Scikit-learn*.

Tutorials

Introduction to scikit-learn* Essentials for Machine Learning

An overview of scikit-learn essentials.

Advanced scikit-learn* Essentials for Machine Learning

Special technique to perform scikit-learn computation on Intel GPUs.

Develop Efficient AI Solutions with Accelerated Machine Learning

Techniques for maximizing Intel® Extension for Scikit-learn*.

Getting started with classical Machine Learning Frameworks using Google Colaboratory

Simple Installation of Intel® Extension for Scikit-learn* on Google Colaboratory.

Accelerate Machine Learning Workloads: K-means and GPairs Algorithms

An introduction to Intel® Extension for Scikit-learn*.

Benchmarking Intel® Extension for Scikit-learn*: How Much Faster Is It?

Explore and compare the performance of the Intel Extension for Scikit-learn* vs. stock Scikit-learn*.

Drive Innovation & Performance into Your scikit-learn* Machine Learning Tasks

An overview of scikit-learn essentials.

Case Studies

Greener Machine Learning Computing with Intel® AI Acceleration

Lowering the Environmental Impact of AI Workloads by 7x using Intel® Extension for Scikit-learn*.

Supply Chain Optimization at Enterprise Scale

Leveraging Open-Source AI Technologies with Red Hat OpenShift* Data Science and Intel® Architecture.

HippoScreen Improves AI Performance by 2.4x with oneAPI Tools

The neurotechnology startup used Intel® Extension for Scikit-learn* to the improve efficiency and build times of deep-learning models used in its Brain Waves AI system.