Pattern Recognition

Code: PINF7055
Course: PhD program in computer science
Credits: 4
Hourly load: 60

Bibliography: * RASCHKA, Sebastian; MIRJALILI, Vahid. Python machine learning: Machine learning and deep learning with Python, scikit-learn, and TensorFlow 2. Packt Publishing Ltd, 2019.
* HASTIE, Trevor; TIBSHIRANI, Robert; FRIEDMAN, Jerome. The elements of statistical learning: data mining, inference, and prediction. Springer Science & Business Media, 2009. URL:
http://www-stat.stanford.edu/~hastie/Papers/ESLII.pdf
* Theodoridis, Sergios, and Koutroumbas, Konstantinos. Pattern Recognition. 4th ed. Academic Press, 2008.
* Duda, Richard O., Hart, Peter E., and Stork, David G. Pattern Classification. 2nd ed. Wiley-Interscience, 2000.
* Goodfellow, Ian, Bengio, Yoshua, and Courville, Aaron. Deep Learning. MIT Press, 2016.
* Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. 3rd ed. O'Reilly, 2024.
* Haykin, Simon. Neural Networks and Learning Machines. 3rd ed. Pearson, 2008.
* BISHOP, C. M.Pattern Recognition and Machine Learning Christopher, Springer New York, 2007
* K. Fukunaga, "Introduction to Statistical Pattern Recognition (Second Edition)", Academic Press, New York, 1990
* RAUBER, T. W. Inteligência Numérica, Aprendizagem de Máquina — Redes Neurais — Inteligência Artificial, A ser publicado em 2026,: Pasta da disciplina no Drive.