#MachineLearning #WindEnergy #CleanEnergy Machine learning for wind energy takes the spotlight as @JonKrohnLearns chats with Dr. Jason Yosinski, CEO of Windscape AI. They break down how cutting-edge ML technologies are boosting wind turbine efficiency and transforming renewable energy. Hear about advanced neural visualizations and the impact of strategic layer freezing techniques, all explained in a down-to-earth way. This episode is packed with insights into how these innovations are making clean energy smarter and more reliable. Perfect for anyone curious about the future of wind power and the tech driving it forward. This episode is brought to you by Crawlbase (https://crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:02:26] Enhancing predictability in wind energy with ML • [00:10:11] Data utilization from wind turbines by energy providers • [00:16:23] Jason's journey into wind energy • [00:21:16] Landing the right startup idea • [00:30:03] Visualizing neural networks with the Deep Vis Toolbox • [00:43:47] Extreme event forecasting at Uber vs. nowcasting at Windscape AI • [00:46:22] Discoveries from Loss Change Allocation research • [00:58:17] Engaging with Jason's ML Collective • [01:09:00] Traits of successful AI entrepreneurs Additional materials: https://www.superdatascience.com/789