21 Matching Annotations
  1. Last 7 days
    1. My freely downloadable Beginning Mathematical Logic is a Study Guide, suggesting introductory readings beginning at sub-Masters level. Take a look at the main introductory suggestions on First-Order Logic, Computability, Set Theory as useful preparation. Tackling mid-level books will help develop your appreciation of mathematical approaches to logic.

      This is a reference to a great book "Beginning Mathematical Logic: A Study Guide [18 Feb 2022]" by Peter Smith on "Teach Yourself Logic A Study Guide (and other Book Notes)". The document itself is called "LogicStudyGuide.pdf".

      It focuses on mathematical logic and can be a gateway into understanding Gödel's incompleteness theorems.

      I found this some time ago when looking for a way to grasp the difference between first-order and second-order logics. I recall enjoying his style of writing and his commentary on the books he refers to. Both recollections still remain true after rereading some of it.

      It both serves as an intro to and recommended reading list for the following: - classical logics - first- & second-order - modal logics - model theory<br /> - non-classical logics - intuitionistic - relevant - free - plural - arithmetic, computability, and incompleteness - set theory (naïve and less naïve) - proof theory - algebras for logic - Boolean - Heyting/pseudo-Boolean - higher-order logics - type theory - homotopy type theory

  2. Nov 2022
    1. JohnPhilpin I have read a number of questions from people in different communities I am part of, asking for Podcast recommendations. I don’t think it is an easy question to answer. 1) There are millions of these puppies 2) Because I like something doesn’t mean you will 3) My recommendations this week might be different next - because 'moods' 4) and and and I wrote this post as a starting point. Happy to share my current OPML with anyone who wants it - add a comment below - or email me. Happy to offer my thoughts on what you might like if I know more about what you like. I won't typically offer BIG NAME podcasts.


      @JohnPhilpin Recommendations can often come cheap, particularly on iTunes where everyone begs for reviews. I prefer hearing about what people actually listened to. What did you invest your time in/on? This is why I sporadically maintain what I call a faux-cast or a feed of podcasts and audio I've actually listened to: https://boffosocko.com/2018/03/08/podcasts-of-things-ive-listened-to-or-want-to-listen-to/

  3. Jun 2022
  4. Jan 2022
  5. Jul 2021
    1. Recommendations DON'T use shifted PPMI with SVD. DON'T use SVD "correctly", i.e. without eigenvector weighting (performance drops 15 points compared to with eigenvalue weighting with (p = 0.5)). DO use PPMI and SVD with short contexts (window size of (2)). DO use many negative samples with SGNS. DO always use context distribution smoothing (raise unigram distribution to the power of (lpha = 0.75)) for all methods. DO use SGNS as a baseline (robust, fast and cheap to train). DO try adding context vectors in SGNS and GloVe.
  6. Mar 2021
  7. Jan 2021
    1. Documents examined by the Wall Street Journal last May show Facebook’s internal research found 64 percent of new members in extremist groups joined because of the social network’s “Groups you should join” and “Discover” algorithms.
  8. Oct 2020
    1. You see this in bookstores: staff recommendations. This is the store’s window into an infinite catalog of books. And it works. The system is: here are our favorites. Then, venturing further into the store: this is what we happen to have.

      I spent some time on Wednesday chatting with the owner of a used bookstore that had a 10x10 foot "kiosk" space in a local mall next to a make up cart. He had one of the single most highly curated collections of used books in about 12 categories that I've ever seen. It was stunningly awesome.

      I would never have expected this as a business to exist, but like itinerant booksellers of the 15th century, he's just doing what they've always done apparently.

    1. Student evaluations of teachers are notoriously biased against women, with women routinely receiving lower scores than their male counterparts.

      I recall some work on this sort of gender bias in job recommendations as well. Remember to dig it up for reference as well.

  9. Aug 2020
    1. Harper, Craig A., and Darren Rhodes. ‘Ideological Responses to the Breaking of COVID-19 Social Distancing Recommendations’, 19 August 2020. https://doi.org/10.31234/osf.io/dkqj6.

    2. Harper, Craig A., and Darren Rhodes. ‘Ideological Responses to the Breaking of COVID-19 Social Distancing Recommendations’, 19 August 2020. https://doi.org/10.31234/osf.io/dkqj6.

    3. Harper, Craig A., and Darren Rhodes. ‘Ideological Responses to the Breaking of COVID-19 Social Distancing Recommendations’, 19 August 2020. https://doi.org/10.31234/osf.io/dkqj6.

  10. Jun 2020
  11. Jan 2019
    1. Seeing White. Recommended by a reader, this 14-part series on race and whiteness is essential listening.*

      This is also one of the best things I consumed this past year.

  12. Nov 2018
    1. One of the reasons why we’re all so addicted to YouTube is because it has nearly perfected the algorithm to get you to watch videos on the platform which didn’t even exist a few minutes ago as well as the ones which its sure you’ll be interested to watch. It surely isn’t a surprise to know that one billion hours of YouTube video content is watched by people all around the world on an average day. At CES 2018, Neil Mohan (Chief Product Officer, YouTube) revealed that 70% of the videos watched by the people are recommendations of YouTube’s advanced algorithm. He also added that these recommendations keep mobile users watching videos for more than 60 minutes at one time, on average.

      5 Tips To Get Your Channel Videos In The YouTube Recommendations Section

  13. Sep 2017
  14. Sep 2015
    1. Should you wish to learn more about the language, I am happy to recommend the following titles: JavaScript: The Definitive Guide by David Flanagan Eloquent JavaScript by Marijn Haverbeke JavaScript Patterns by Stoyan Stefanov Writing Maintainable JavaScript by Nicholas Zakas JavaScript: The Good Parts by Douglas Crockford