Data Science Training Program
Thursday, November 19, 2020

Min-Gyoung Shin, PhD

Bioinformatician I

Machine learning for biologists is becoming increasingly important not only in data science, but also in bioinformatics. This workshop gives you the opportunity to find hidden patterns in your data and draw predictive conclusions. 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 Level: Prior experience with R is required. See introductory workshop: Introduction to R for Data Analysis.

Visit the workshop site for more details and materials.

Details

Dates
November 19, 2020
Time
2:00-4:30pm PST
Location
Online
Audience
Gladstone and UCSF
Contact(s)





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.