This eBook talks various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture, and then compares the results.

In machine learning, the computer looks at data and creates patterns to help it understand the world. It predicts how things will act in the future, and then make decisions based on those predictions.

“By extending previous work on Neural Ordinary Differential Equations (Neural ODEs), we devised a new machine learning architecture incorporating weather patterns to predict black Sigatoka infections ...

Berkeley Lab researchers have developed EScAIP, a groundbreaking machine-learning method that accelerates atomistic simulations by improving model scalability. This approach reduces memory usage ...