Schedule & Program Details
starting September 16, 2020
at 5-7 PM PST
Wed, Sept 16, 5:00 PM - 7:00 PM PST
Wed, Sept 23, 5:00 PM - 7:00 PM PST
Wed, Sept 30, 5:00 PM - 7:00 PM PST
Wed, Oct 7, 5:00 PM - 7:00 PM PST
The workshop will cover a complete workflow of data collection, feature extraction, machine learning model building, validation, prediction, and evaluation of hurricane forecast models. It will provide hands-on training in processing satellite data and organizing data for operational hurricane forecasting. The instructor will introduce methods for feature extraction and data dimensionality reduction, and multiple machine learning techniques.
RMDS Certification Benefits
Week 1: Data Collection and Feature Extraction
Preprocessing techniques for spatiotemporal varying satellite data
Generating features from data
Week 2: Machine Learning Algorithms and Model Building
Week 3: Implementation and Solution Creation
A web-based real-time forecasting system
Week 4: Innovative Techniques and Methods
New findings and new methods from the latest research
Generating creative features to improve models
Learn with the best
Data science plays an increasingly important role in many aspect of the modern society: industry, commerce, finance, security, science and scholarship, etc. RMDS provides a great forum for the professionals in this arena to connect and exchange ideas.
George DjorgovskiProfessor and Director, Center for Data-Driven Discovery at Caltech
What we’re trying to do with this challenge is recruit a lot of different ideas on something that we haven’t really thought through as city governments.” “The city of Los Angeles has teamed up with a community of data-science professionals known as RMDS to try and change that. Together, they’ve launched a new challenge program for university teams, civic hackers, city data geeks and others.