Practical on Kernel Methods

Getting Started

Welcome to the practical session on kernel methods at MLSS2015 in Tuebingen!

To complete the tutorial, you only need a laptop with appropriate internet browsers such as Firefox or Chrome installed. The tutorial consists of two parts.

Part I : Preparation

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This part aims to provide you with the basics of kernel methods which form the backbone of all kernel-based algorithms. Prerequisites for completing this part are

• Knowledge about elementary linear algebra
• Familiarity with Python programming language (ipython notebook) and basic packages like numpy, scipy, and scikit-learn

During the practical session, you will receive the URL to your private ipython notebook from which you can submit your result to the competition server.

Part II : Challenge

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In this part, you will be using the code developed in Part I to solve a challenging real-world problem.

Organization

The Practical on Kernel Methods at MLSS2015 is organized by

The system is maintained by Sebastian Stark.

Leaderboard

The leaderboard will be available after each practical session.