This page provides quick links to lecture notes that I have written for various classes: CS254: A graduate class on computational complexity (Stanford) [Spring 2010 Class Home Page] [Notes for Lectures 1-8] CS278: A graduate class on computational complexity (Berkeley) [Spring 2001 Class Home Page] [Fall 2002 Class Home Page] [2001 Lecture Notes in book…
This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
B. Ghojogh, M. Sikaroudi, H. Tizhoosh, F. Karray, and M. Crowley. (2020)cite arxiv:2004.01857Comment: Accepted (to appear) in International Conference on Image Analysis and Recognition (ICIAR) 2020, Springer.
C. Blundell, J. Cornebise, K. Kavukcuoglu, and D. Wierstra. Proceedings of the 32nd International Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research, page 1613--1622. Lille, France, PMLR, (07--09 Jul 2015)
A. Fisher, and E. Kennedy. (2018)cite arxiv:1810.03260Comment: This manuscript version includes 2 additional supplemental figures to further aid intuition. In total: 4 figures, 36 pages (double spaced).
H. Li, Z. Xu, G. Taylor, C. Studer, and T. Goldstein. (2017)cite arxiv:1712.09913Comment: NIPS 2018 (extended version, 10.5 pages), code is available at https://github.com/tomgoldstein/loss-landscape.
A. Kumar, P. Liang, and T. Ma. (2019)cite arxiv:1909.10155Comment: Accepted as a spotlight to NeurIPS 2019, original title was "Variance Reduced Uncertainty Calibration".
O. Montasser, S. Hanneke, and N. Srebro. Proceedings of the Thirty-Second Conference on Learning Theory, volume 99 of Proceedings of Machine Learning Research, page 2512--2530. Phoenix, USA, PMLR, (25--28 Jun 2019)
J. Hron, A. Matthews, and Z. Ghahramani. Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 2019--2028. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)