Subject: Artificial Intelligence and Machine Learning for Ecologists (Online)
COURSE DESCRIPTION: Recent breakthroughs have made artificial intelligence techniques accessible to a wider audience interested in addressing the management and analysis of large ecological datasets. From automatically sorting camera trap data to identifying individuals within your study population, leave this course with the knowledge and skills to generate and deploy machine learning models for your research. In this course, you will first learn how to wrangle your data using R or OpenRefine; create workflows using python environments and Jupyter notebooks; and deploy your own computer vision web application using powerful deep learning libraries.
PREREQUISITES: Algebra, Ecology, and introductory data science is helpful (e.g., R Boot Camp for Ecologist and Wildlife Biologists)
FORMAT: Students will take the course at their own pace over a four-week period. The course is divided into discrete competency-based modules composed of pre-recorded lecture material and hands-on exercises. Student interaction and instructor feedback will be provided in the form of email, online discussion forums, and live Q&A sessions each week. Each student will also have the opportunity to meet with the instructor via one-on-one video consultation to discuss their individual project from school or work.
PRIMARY INSTRUCTOR: Dr. Alexander J. Robillard
DATES: September 1-26, 2022
PRICE: Early bird course fee (ends July 24): $600 professional / $500 student
For more information / to register, please visit: https://www.centerforwildlifestudies.org/courses/machinelearning-online-2022
Center for Wildlife Studies <firstname.lastname@example.org>
Wednesday, July 06, 2022