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avibryant's profile
Avi Bryant
Avi Bryant
Avi Bryant
@avibryant

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Avi Bryant

@avibryant

Happiest when working on Random Forests from random beaches.

Galiano Island
avibryant.com
Joined November 2006

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    1.  🔎Julia Evans 🔍‏ @b0rk 6 Sep 2015

      Is machine learning safe to use? text here: https://gist.github.com/anonymous/135f3b05b63dbd807ee6 …pic.twitter.com/IhaieMARl8

      4 replies 26 retweets 70 likes
    2. your ann personal jesus‏ @anyharder 6 Sep 2015
      Replying to @b0rk

      @b0rk wait, machine learning uses regression? what other techniques do you use?

      1 reply 0 retweets 0 likes
    3.  🔎Julia Evans 🔍‏ @b0rk 6 Sep 2015
      Replying to @anyharder

      @anyharder just random forests and regression!

      1 reply 0 retweets 0 likes
    4. your ann personal jesus‏ @anyharder 6 Sep 2015
      Replying to @b0rk

      @b0rk wow, i thought it was so much scarier! neat!

      2 replies 0 retweets 2 likes
      Avi Bryant‏ @avibryant 6 Sep 2015
      Replying to @anyharder

      @anyharder @b0rk the big difference between ML and stats is that ML focuses purely on prediction at the expense of inference/understanding.

      9:21 AM - 6 Sep 2015
      • 7 Likes
      • Roban Hultman Kramer Erik Smith ʕ•͡ᴥ•ʔ T. Rex Skeleton (;´༎ຶД༎ຶ`) John Collison 🔎Julia Evans🔍
      3 replies 0 retweets 7 likes
        1.  🔎Julia Evans 🔍‏ @b0rk 6 Sep 2015
          Replying to @avibryant

          @avibryant @anyharder avi I love that sentence it is such a good explanation

          0 replies 0 retweets 0 likes
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        1. New conversation
        2. Avi Bryant‏ @avibryant 6 Sep 2015
          Replying to @avibryant

          @anyharder @b0rk the underlying techniques are more or less the same but I think there are very different ideas about methodology and rigor.

          3 replies 0 retweets 1 like
        3. your ann personal jesus‏ @anyharder 6 Sep 2015
          Replying to @avibryant

          @avibryant @b0rk interesting! is there EDA in machine learning?

          1 reply 0 retweets 0 likes
        4.  🔎Julia Evans 🔍‏ @b0rk 6 Sep 2015
          Replying to @anyharder

          @anyharder is that... something discriminant analysis? I don't know what that is

          1 reply 0 retweets 0 likes
        5. Avi Bryant‏ @avibryant 6 Sep 2015
          Replying to @b0rk

          @b0rk @anyharder when I google I get exploratory data analysis? Which - I think so? But I may be missing some nuance of what's meant by that

          2 replies 0 retweets 0 likes
        6. Carl Vogel‏ @slendrmeans 6 Sep 2015
          Replying to @avibryant

          @avibryant @b0rk @anyharder This is great! I'd add stress testing--simulating pessimistc data to assess consequences of model failure.

          1 reply 0 retweets 1 like
        7. Carl Vogel‏ @slendrmeans 6 Sep 2015
          Replying to @slendrmeans

          @avibryant @b0rk @anyharder This is easier in understandable models--since you can usually reason better about what will fool your model.

          0 replies 0 retweets 1 like
        8. End of conversation
        1. New conversation
        2. Will Landecker‏ @TheWill 6 Sep 2015
          Replying to @avibryant

          @avibryant @anyharder @b0rk I disagree. Interpretable ML is primarily concerned with human understanding.

          1 reply 0 retweets 0 likes
        3. Will Landecker‏ @TheWill 6 Sep 2015
          Replying to @TheWill

          @avibryant @anyharder @b0rk IMO the difference between the two fields is rooted more in history than philosophy.

          0 replies 0 retweets 0 likes
        4. End of conversation

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