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npp

HN member
Joined
Thu, Apr 29, 2010, 7:44 AM UTC
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Public activity
22 items

About npp

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Recent public activity

  1. comment
    Comment #10972266

    In the same vein -- John Nash once said that Minsky was the smartest person he ever met. ...He also said that he thought McCarthy was an idiot. :)

  2. comment
    Comment #9934394

    This article reminds me of a lot of what Dalton Caldwell spoke about in his talk about why not to start a music startup at a Startup School in the last several years. This business…

  3. comment
    Comment #7091273

    Your blog post makes an important mistake in that it recommends actually inverting the matrix X^T X, which one never actually does in this case. In general, A^{-1} b is sort of mat…

  4. comment
    Comment #4367867

    One way would be to take a course on a topic that uses linear algebra heavily, rather than taking a generic linear algebra course. Since all the ideas from linear algebra are then …

  5. comment
    Comment #3248518

    It's a good followup. Those models are widely used in computer vision, natural language processing, and other AI and applied ML areas, so those classes all go together.

  6. comment
    Comment #2312011

    In an earlier comment, you said that much of the time was spent in constructing the features (e.g. you had to implement CSS). Did you mean implementation time, or training/classifi…

  7. comment
    Comment #1938563

    Some higher-level math will be important, other parts will not be. The parts that will be more useful are more on the analysis side (real analysis, complex analysis, functional ana…

  8. comment
    Comment #1757626

    People have already explained the fact that the field now goes under a number of different names, and that it is very active, so I won't rehash this. A few pointers to things where…

  9. comment
    Comment #1754026

    Advanced Linear Algebra, Roman; Linear Algebra, Hoffman & Kunze; Matrix Analysis, Horn & Johnson; Principles of Mathematical Analysis, Rudin; Real Analysis, Royden. Miscellaneous c…

  10. comment
    Comment #1707636

    One could say a number of things, but I'll just say this: I would suggest that you consider working for a bit in between undergrad and grad school. If you had a strong chance of ge…

  11. comment
    Comment #1625163

    I haven't read the GraphLab paper in detail, but note that Google itself developed a new framework called Pregel for doing graph-based data processing that doesn't fit MapReduce we…

  12. comment
    Comment #1575803

    I'm just curious; how can you recommend it to family/friends looking for a computer , since currently you still need an extra machine to sync the iPad to? Is it that they have a de…

  13. comment
    Comment #1487227

    Some fairly well-known consumer-facing things that use machine learning are spam filters, recommendation engines, speech recognition systems (speech-to-text or customer service stu…

  14. comment
    Comment #1465037

    One option is to browse some major university websites for commonly used textbooks and pick one that's appropriate for your level (in terms of math/econ background) and seems inter…

  15. comment
    Comment #1409149

    To get some candidate schools, you may want to take a look at rankings (e.g. US News) for Ph.D. programs in computer science -- if you're actually sure you want to do CS, as people…

  16. comment
    Comment #1404185

    Gruber does approach technology from a pro-Apple viewpoint, but many of his articles are at least organized around verifiable facts, though some may argue with his opinions or conc…

  17. comment
    Comment #1393507

    Sorry if this is off topic, but am just curious -- what does a "good bible program" involve? Surely the Bible is available via some kind of Kindle/iBook thing?

  18. comment
    Comment #1375337

    People keep saying this, but the point is that Facebook got traction to begin with because it was highly private (only open to a small number of Ivy League colleges), and even late…

  19. comment
    Comment #1336347

    Most banal example is intervals in the real line (e.g. reals between 0 and 1), which show up all the time. But comfort with infinity is needed for other uses also, two examples bei…

  20. comment
    Comment #1333582

    "Hard" is of course highly subjective, but the material in this article is standard (usually sophomore-junior) undergrad material and is very widely used.

  21. comment
    Comment #1320479

    I recall Microsoft, Google, and other large engineering companies making very similar efforts (and the tech companies certainly push lifestyle factors much more directly). It's the…

  22. comment
    Comment #1311239

    Agreed, but this is kind of an "80-20 rule" thing. 80% of the time is spent on those 20% of activities, and 80% of people are basically just doing email, browsing, Twitter/Facebook…