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Using Machine Learning to Predict Weather and Climate Risk

Offered By: Google Cloud Tech via YouTube

Tags

Machine Learning Courses Deep Learning Courses Neural Networks Courses Google Cloud Platform (GCP) Courses Vertex AI Courses Satellite Imagery Courses

Course Description

Overview

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Explore how machine learning predicts weather and analyzes climate change in this 13-minute video from Google Cloud Tech. Learn about predictive models, neural networks, and satellite imagery for weather forecasting. Discover the challenges of computing weather modules, deep learning techniques, and Google's AI initiatives for weather and climate. Follow along as the video demonstrates designing inputs and outputs, extracting combined datasets, storing data, building models, and training them in Vertex AI. Gain insights into MetNet forecasting and future developments in weather prediction using machine learning.

Syllabus

- Intro
- The challenge of computing weather modules
- How does deep learning work?
- Example of deep learning / neural network
- MetNet forecasting
- Google AI for Weather and Climate
- Designing for inputs data and outputs labels
- Combined data set extracted
- Data stored
- Model building
- Training the model in Vertex AI and saving it to Cloud storage
- What’s next?


Taught by

Google Cloud Tech

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