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Comment: Re:Heptatonic (Score 2) 105

by bunratty (#49761293) Attached to: Favorite musical scale, by number of pitch classes?
We wouldn't have the confusion over octatonic if music started counting at zero. If you play a note and the next note up (on a heptatonic scale such as C major), it's counted as two (a second interval), because we started counting at one with the original note. By the time we get to the same note but at a higher pitch (do re mi fa so la ti do), we've counted to eight even though it's seven notes away. I avoided this mistake by counting A, B, C, D, E, F, G, seven notes, heptatonic. I suppose most people who can play an instrument didn't think it through before answering.

Comment: Re:Wow (Score 2) 291

by bunratty (#49452955) Attached to: Cannabis Smoking Makes Students Less Likely To Pass University Courses

If you include the fact that you never bought it, that's more information that affects the probabilities. It's just like in the Monty Hall problem where revealing a goat behind one door changes the probabilities of what's behind the other doors.

Given the fact that cannabis was recently made legal where you live, you may be 5% less like to pass a class. Given the additional fact that you chose not to use cannabis, you may be 5% more likely to pass a class due to the curve being lowered by those who do smoke.

Comment: Re:Very informative article (Score 1) 71

by bunratty (#49123623) Attached to: Facebook AI Director Discusses Deep Learning, Hype, and the Singularity

When most AI people are talking about artificial intelligence, they are talking about narrow "intelligence". This is why in Russell & Norvig's book they quickly move away from the term "intelligence" and instead speak of "agents" working in a particular "task environment", and whether the agents behave rationally or not. For example, a chess program may be able to win chess games against a grandmaster chess player, so we say this agent is performing rationally within this specific task environment. The chess program is not "intelligent" in the sense that you and I are -- it's an incredibly dumb automaton, as is nearly every computer program. You can see this when it fails miserably when put in any different task environment.

The intelligence that will bring about the singularity is artificial general intelligence, which is the same intelligence that you and I have, that is, the capability of performing well in a very wide variety of environments. This type of agent would be able to reason about how to improve itself and bring about that improvement. Very little AI research these days involves artificial general intelligence, and the progress in this area is slow.

Comment: Re:Correlation and causation again (Score 1) 96

by bunratty (#49093835) Attached to: How Machine Learning Ate Microsoft
I think this is exactly why Andrew Ng started his machine learning Coursera course, because so many programmers in Silicon Valley were applying machine learning techniques without knowing what they're doing. His idea seems to be, "If I can teach the fundamentals of machine learning to thousands of programmers, then these so-called machine learning 'experts' will be seen for who they are." I hope that managers that think they can be armchair data scientists will also be seen for who they are.

"Be *excellent* to each other." -- Bill, or Ted, in Bill and Ted's Excellent Adventure

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