Introductory Machine Learning for Biologists

Machine learning is becoming increasingly important not only in data science but also in bioinformatics. Machine learning gives you the opportunity to find hidden patterns in your data and draw predictive conclusions. In this workshop, you’ll learn key machine learning concepts and categories, and get hands-on practice with simple examples. See how machine learning can be applied to advance your research!

The workshop will cover:

• Supervised and unsupervised learning
• Bias and variance
• Cross validation
• Nearest neighbors
• K-means clustering
• Decision trees
• Support vector machines

Intermediate: Prior experience with R is required.

Visit the workshop site for more details and materials.

Register HERE

Instructor:

Min-Gyoung Shin, Bioinformatician II