Course Information

Course Policy

Syllabus

Testing Datasets

Useful Links

Textbooks

• Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
• Michael A. Nielsen, Neural Network and Deep Learning, Determination Press, 2015.
• Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, An Introduction to Statistical Learning, Springer, 2013.
• 24 Best (and Free) Books to Understand Machine Learning

Programming Related

• Python for Beginners, from Microsoft.
• Google Python Class
• Python Tutorial - Python for Beginners with Mosh
• Anaconda
• Jupyter notebook
• Colab

Related Journals and Conferences

• International Conference on Machine Learning (ICML)
• International Conference on Learning Representations (ICLR)
• International Conference on Neural Information Processing Systems (NeurIPS)
• IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
• Pattern Recognition
• Pattern Recognition Letters
• ICPR (International Conference on Pattern Recognition)
• CVPR (Computer Vision and Pattern Recognition)