The AWS ML Embark program has helped many organizations make great use of ML for a broader impact. Know your team's ML through the ดาวน์โหลดjoker ML Embark course at Met Office as a research and science organization. Has developed customized weather forecasting and climate forecast models. Based on a large, constantly updated observational dataset, the Met Office looks for ways to evolve using ML, examining how the world's biosphere can change. To find ways to respond to climate change This is one of the many data-driven challenges, Met Office partnered with the Amazon ML Solutions Lab (MLSL) through the ML Embark Accelerator program to explore new solutions to this problem.

"We are excited to be joining the team from the AWS Machine Learning Solutions Lab as part of the Embark program," said Professor Albert Klein-Tank, Head of the Met Office Hadley Center for Climate Science and Services. The AWS Machine Learning Solutions Lab team has provided technology skills and experience.

This helps us to open up our horizons about complex classification problems. It offers better insights into how climate change impacts the Earth's biosphere. Our climate models generate massive amounts of data. And the ability to extract added value from those data is important for advising governments and other stakeholders in commerce. Helping Met Office develop these skills even further in the future. "