Materials Data Science
Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
- 644pages
- 23 heures de lecture
Focusing on the intersection of data science and materials science, this book delves into machine learning and deep learning techniques relevant to engineering applications. It features comprehensive explanations of algorithms and methods, with practical examples demonstrating their implementation using Python and NumPy. Readers will gain hands-on experience by learning to build these techniques from the ground up.
