Mehta, Pankaj, Bukov, Marin, Wang, Ching-Hao, Day, Alexandre G.R., Richardson, Clint, Fisher, Charles K., and Schwab, David J. A high-bias, low-variance introduction to Machine Learning for physicists. Retrieved from https://par.nsf.gov/biblio/10169882. Physics Reports 810.C Web. doi:10.1016/j.physrep.2019.03.001.

Mehta, Pankaj, Bukov, Marin, Wang, Ching-Hao, Day, Alexandre G.R., Richardson, Clint, Fisher, Charles K., & Schwab, David J. A high-bias, low-variance introduction to Machine Learning for physicists. Physics Reports, 810 (C). Retrieved from https://par.nsf.gov/biblio/10169882. https://doi.org/10.1016/j.physrep.2019.03.001

Mehta, Pankaj, Bukov, Marin, Wang, Ching-Hao, Day, Alexandre G.R., Richardson, Clint, Fisher, Charles K., and Schwab, David J. "A high-bias, low-variance introduction to Machine Learning for physicists". Physics Reports 810 (C). Country unknown/Code not available. https://doi.org/10.1016/j.physrep.2019.03.001. https://par.nsf.gov/biblio/10169882.

@article{osti_10169882,
place = {Country unknown/Code not available}, title = {A high-bias, low-variance introduction to Machine Learning for physicists}, url = {https://par.nsf.gov/biblio/10169882}, DOI = {10.1016/j.physrep.2019.03.001}, abstractNote = {}, journal = {Physics Reports}, volume = {810}, number = {C}, author = {Mehta, Pankaj and Bukov, Marin and Wang, Ching-Hao and Day, Alexandre G.R. and Richardson, Clint and Fisher, Charles K. and Schwab, David J.}, }