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It seems like at least half the tech people I talk to work with AI now... no matter their field.

nabla9 7y ago
Any type of heuristic search = AI. hand-made decision tree or lookup table = AI, Naive bayes = AI, KNN = AI. Uses numpy = AI. One employee in mobile app startup has graduate thesis in ML = AI startup. Approximate string matching in SQL query = AI. Not clear what the product is going to be = AI. "Information is not knowledge. Knowledge is not wisdom. Wisdom is not truth. Truth is not beauty. Beauty is not blockchain. Blockchain is not AI. AI is THE BEST.”
- jnwatson 7y ago
  In my space (cybersecurity) I’ve heard “more than 2 joins” (in an SQL context) is ML.
  - goatlover 7y ago
    So it's turning into a meaningless buzzword.
    - deleted 7y ago
      [deleted]
- deusofnull 7y ago
  I worked for a company that had a "big data machine learning" product. Yeah, it was mostly elasticsearch aggregations.
  - itronitron 7y ago
    well, aggregations are just leveraging how the data fields are analyzed and labeled, so if those were based on ML/NLP techniques then it could be legit
    - outworlder 7y ago
      > so if those were based on ML/NLP techniques then it could be legit Occam's Razor is whispering that it probably wasn't legit.
    - deusofnull 7y ago
      i believe the only NLP/ML stuff we really had was at the level of positive / negative sentiment analysis for social media posts, which as far as i know is pretty basic and mostly just involves dictionary checks for +/- words. the elasticsearch aggregations & indexing was not ML/NLP based at all.
- deleted 7y ago
  [deleted]
dekhn 7y ago
it turns out significant amounts of what I did in the past overlaps significantly with ML now: for example, hyperparameter exploration. I created a system years ago to do exploration by fitting polynomial surfaces, finding predicted maxima, and exploring those areas. Also, many of the algorithms underlying the area I did my PhD research in (molecular dynamics) are very similar to gradient descent.
itronitron 7y ago
I mean, if the software is smart enough to make sense of long sequences of 1's and 0's then it must be artificially intelligent to some extent. /s

Any type of heuristic search = AI. hand-made decision tree or lookup table = AI, Naive bayes = AI, KNN = AI. Uses numpy = AI. One employee in mobile app startup has graduate thesis in ML = AI startup. Approximate string matching in SQL query = AI. Not clear what the product is going to be = AI. "Information is not knowledge. Knowledge is not wisdom. Wisdom is not truth. Truth is not beauty. Beauty is not blockchain. Blockchain is not AI. AI is THE BEST.”

jnwatson 7y ago
In my space (cybersecurity) I’ve heard “more than 2 joins” (in an SQL context) is ML.
- goatlover 7y ago
  So it's turning into a meaningless buzzword.
  - deleted 7y ago
    [deleted]
deusofnull 7y ago
I worked for a company that had a "big data machine learning" product. Yeah, it was mostly elasticsearch aggregations.
- itronitron 7y ago
  well, aggregations are just leveraging how the data fields are analyzed and labeled, so if those were based on ML/NLP techniques then it could be legit
  - outworlder 7y ago
    > so if those were based on ML/NLP techniques then it could be legit Occam's Razor is whispering that it probably wasn't legit.
  - deusofnull 7y ago
    i believe the only NLP/ML stuff we really had was at the level of positive / negative sentiment analysis for social media posts, which as far as i know is pretty basic and mostly just involves dictionary checks for +/- words. the elasticsearch aggregations & indexing was not ML/NLP based at all.
deleted 7y ago
[deleted]

dekhn 7y ago

it turns out significant amounts of what I did in the past overlaps significantly with ML now: for example, hyperparameter exploration. I created a system years ago to do exploration by fitting polynomial surfaces, finding predicted maxima, and exploring those areas. Also, many of the algorithms underlying the area I did my PhD research in (molecular dynamics) are very similar to gradient descent.

itronitron 7y ago

I mean, if the software is smart enough to make sense of long sequences of 1's and 0's then it must be artificially intelligent to some extent. /s