| Referências: |
Bibliografia básica: [1] Sandfeld, Stefan. Materials Data Science. 1a edição. Springer Nature Switzerland AG. DOI: 10.1007/978-3-031-46565-9. [2] Gareth, James; Witten, Daniela; Hastie, Trevor; Tibishirani, Robert; Taylor, Jonathan. An Introduction to Statistical Learning with Python. 1a edição. Springer Nature Switzerland AG. DOI: 10.1007/978-3-031-38747-0. [3] LOOKMAN T., Eidenbenz S., Alexander, F., Barnes, C. Materials Discovery and Design - By Means of Data Science and Optimal Learning. Springer, 2018. [4] CARVALHO, A., Almeira, T., Gama, J., Lorena, A. Faceli, K. Inteligência Artificial - Uma Abordagem de Aprendizado de Máquina. LTC, 2021. [5] Xiao-Hong Nancy Xu (Editor) 2007. New Frontiers in Ultrasensitive Bioanalysis: Advanced Analytical Chemistry Applications in Nanobiotechnology, Single Molecule Detection, and Single Cell, Analytical Chemistry and Its Applications). Wiley Interscience. | Bibliografia complementar: [1] RAJAN, K. Informatics for Materials Science and Engineering: Data-Driven Discovery for Accelerated Experimentation and Application. ELSEVIER, 2013. [2] GOODFELLOW, I. Bengio, Y., e Courville, A. Deep Learning, The MIT Press, 2018. [3] GÉRON, Aurélien. Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow. Edição 2ª. O’Reilly, 2019. [4] NORVIG, Peter, RUSSEL, Stuart. Inteligência Artificial. Edição 3ª. GEN LTC, 2013. |
