Data Science Training Program
Michela Traglia
Ayushi Agrawal
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 beginner workshop, you’ll learn the basics of machine learning concepts and approaches, and get hands-on practice with simple examples.
You’ll be introduced to topics including:
- Supervised and unsupervised machine learning
- Training data and test data sets
- Bias and variance
- Cross validation
- Performance evaluation
The hands-on practice will focus on the algorithms:
- K-Nearest Neighbors (KNN)
- K-means clustering
- XGBoost
Prerequisites for demo: Prior experience with R is required, be sure to review the Introduction to R for data analysis workshop.
Visit the workshop site for more details and materials.
This workshop series is made possible through the generous support of Gladstone Institutes, Genentech, UCSF and Gladstone-CIRM SRL.
Details
The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.