There is no class 11/21 because of the Thanksgiving holiday, see the University calendar.
Feel free to reach out if you have any questions/concerns about your paper/project. I will be in town and on email :)
Just posted readings for the rest of the semester as requested :)
For those thinking of using lasso in their project, please see
- The McNeish paper we read - The ISLR book we read, section 6.5 for R code examples using glmnet - Older code using glmpath: http://members.cbio.mines-paristech.fr/~jvert/svn/tutorials/practical/linearclassification/linearclassification.R
Readings are up for next week :) Following up on class discussion yesterday, here is the paper that I thought of assigning but was concerned about overloading people: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/05/Bishop-MBML-2012.pdf This is not assigned, but it's an excellent paper and feedback is welcome. Also, someone asked about Gaussian processes yesterday. In thinking about the whole context of that discussion, I thought it might be helpful to recap some terminology. A random process is something that creates non-deterministic (uncertain) outcome Examples: Rolling dice (fair dice or not) Flipping a coin (fair coin or not) Random sampling Counterexamples Flipping a coin with two heads (because there is only 1 outcome, it is deterministic/certain) A random variable maps the outcome of a random process to a number. Example: Flipping a coin Random process: flipping a coin Random variable X where 1 is heads and 0 is tail...
Readings are up for next week 😀 Please also take a look at the data description for the latest Kaggle lab (link distributed yesterday). The lab for next week will step through the Zuur protocol to build a predictive model for this dataset.
Just posted readings for the rest of the semester as requested :)
ReplyDeleteFor those thinking of using lasso in their project, please see
- The McNeish paper we read
- The ISLR book we read, section 6.5 for R code examples using glmnet
- Older code using glmpath: http://members.cbio.mines-paristech.fr/~jvert/svn/tutorials/practical/linearclassification/linearclassification.R