The Gladstone Data Science Training Program provides learning opportunities and hands-on workshops to improve your skills in bioinformatics and computational analysis. Gain new skills and get support with your questions and data. This program is co-sponsored by UCSF School of Medicine.

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!

You’ll be introduced to topics including:

• Supervised and unsupervised machine learning
• Bias and variance
• Cross validation
• Nearest neighbors (+ practice)
• K-means clustering (+ practice)
• Decision tree (+ practice)

Prior experience with R is required. See introductory workshop Introduction to R for Data Analysis.

Visit the workshop site for more details and materials.