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...
Greetings 😃 If you haven't already gone through the welcome post , please do so now. I've put up the readings for next week (see tab above). You will need your UoM email id/password to log in (e.g. foobar@memphis.edu would log in as foobar). I've also created a refresher video for the Kaggle kernel lab we did yesterday. We will keep working with that kernel in our lab next week:
Readings are now up at the regular location. They are a bit shorter this week but more dense 😸 Please post by 10/9 at noon. Given our discussion last week, I thought I'd share two stories (one recent) about bad research practices and ethics: https://www.npr.org/sections/thesalt/2018/09/26/651849441/cornell-food-researchers-downfall-raises-larger-questions-for-science https://fivethirtyeight.com/features/science-isnt-broken/ Finally, a few of you have already approached me about your project. For those of you who are still thinking about it or looking for data, please see the links here: http://www.memphis.edu/iis/resources/index.php
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