Explores climate definitions, snow feedback mechanisms, past climate variations, and future projections on air temperature, precipitation, and sea level, emphasizing the impacts and adaptations required.
Covers CNNs, RNNs, SVMs, and supervised learning methods, emphasizing the importance of tuning regularization and making informed decisions in machine learning.
Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.
