Machine Learning Approaches in Climate Science
February 25, 2:00pm - 4:00pmMānoa Campus, In Person at 103 Keller Hall, UH Manoa or Online via Zoom

Workshop Description The goals of this lesson are to introduce you to the basics of time-series and geospatial data modeling using modern data science software tools: Jupyter notebooks, ScikitLearn, Keras, and Tensorflow on High Processing Computers. We're approaching this lesson in two parts: Part 1: Simple Time Series Prediction Using Long-Short-Term-Memory Techniques. We will use time-series of sea surface temperatures (SST) from NOAA buoy data. Part 2: Using Time Series Prediction on Geospatial Data. We will forecast SST on a global scale from climate simulation data. Prerequisites
- Familiarity with python is recommended
- Apply machine learning methods to time-series and geospatial data.
- Understand important considerations when modeling climate data.
- Familiarity with machine learning software tools: scikit learn, matplotlib, and keras.
- Google Colab
- jupyter notebooks
- scikit learn
- matplotlib
- keras
Ticket Information
http://go.hawaii.edu/GsV
Event Sponsor
Hawai‘i Data Science Institute, Mānoa Campus
More Information
956-3503, https://datascience.hawaii.edu/
Friday, February 25 |
|
8:30am |
Spring 2022 DOH-UH Public Webinar Series on Aging
Mānoa Campus, https://zoom.us/meeting/register/tJYvc-2qqz4qE9QvcqyHowHfTQucxHbN4DhB
|
11:30am |
Is It Legal? Copyright & Fair Use with Library and Instructional Materials
Mānoa Campus, Online Event
|
12:00pm |
Trans representation on TV
Mānoa Campus, virtual
|
1:30pm |
Rhodes, Marshall, Luce Scholarships Info Sessions [via Zoom]
Mānoa Campus, Online via Zoom
|
2:00pm |
Machine Learning Approaches in Climate Science
Mānoa Campus, In Person at 103 Keller Hall, UH Manoa or Online via Zoom
|
7:30pm |
Hawai‘i Nō Ka ‘Oi: A Sakamoto Celebration
Mānoa Campus, 1770 East-West Rd
|