Part 1: Introduction to scikit-learn* Essentials for Machine Learning

scikit-learn* is a simplified Python* library for machine learning. scikit-learn models can take a long time to train. That’s where the Intel® Extension for Scikit-learn* comes in. Part of AI Tools, this extension helps developers significantly speed up machine learning performance (38x on average and up to 200x depending on the algorithm) by changing only two lines of code.

In about two hours, you'll get an overview of the tool and scikit-learn essentials. Next, you have the opportunity to practice coding techniques on the Intel® Developer Cloud, including accelerating machine learning algorithms such as:

• Principal component analysis (PCA)
• K-nearest neighbors (KNN)
• Linear regression
• Support-vector classification (SVC).

After taking this class, you'll be able to:

• Describe potential performance gains for common scikit-learn routines.
• Apply patching to achieve much better performance with minimal code changes.
• Articulate where Intel Extension for Scikit-learn fits within the broader set of AI Kit optimizations.