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[其他] Facebook’s advice to students interested in artificial intelligence

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只有爱这么简单 发表于 2016-12-2 07:58:37
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Facebook’s advice to students interested in artificial intelligence

Facebook’s advice to students interested in artificial intelligence
  Math. Math. Oh and perhaps some more math.
  That’s the gist of the advice to students interested in AI from Facebook’s Yann LeCun and Joaquin Quiñonero Candela who run the company’s Artificial Intelligence Lab and Applied Machine Learning group respectively.
  Tech companies often advocate STEM (science, technology, engineering and math), but today’s tips are particularly pointed. The pair specifically note that students should
    eat their vegetables   take Calc I, Calc II, Calc III, Linear Algebra, Probability and Statistics as early as possible.
  From this list, probability and statistics are perhaps the most interesting. From what I remember about high-school, those two subjects are regularly dismissed as too-obvious strategies for skirting the informal AP Calculus preference of top colleges and universities (AP Statistics is often thought of as a cop-out by students).
  If differential equations represents the electricity that powers machine learning, statistics represents the gears of the machine itself — as the company touches on in a series of AI explainer videos we linked to at the bottom of this post.
   To be fair, LeCun and Candela are most likely addressing the college crowd, though its important to consider incentives across all levels of education. Simply, we all could probably use some more statistics in our lives. Beyond math, the two say
    more math   engineering, computer science, economics and neuroscience are also important subjects in today’s economy. How else would a fledgeling machine learning student learn to leverage neuroeconomics and cognitive bias to target ads?
   The pair also point to philosophy as a necessary prerequisite to understanding knowledge and learning. Amidst all the talk of News Feed bias , it’s important to remember that there is a human behind every application of machine learning. We don’t yet know how to escape the black box problem , but we do know that it will be humans working to figure it out and it would sure help if those humans understood how learning works before they start manipulating data.
  Lastly, Facebook turns its attention to the actual mechanics of getting a job in the field of machine learning. Most of these tips are self explanatory: find a professor to work with, consider working with PhD students who have more time on their hands and try to secure an industry-focused internship regardless of your future aspirations to understand how AI works in the real world.
  When applying to PhD programs the two note that being able to identify a professor you want to work with is far more important than program ranking. Once there, students should work to address a specific problem and try to release a piece of open source code before all is said and done.
  Introduction to AI
lujun 发表于 2016-12-2 08:26:50
永远有多远?你小子就给我滚多远。
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纤静 发表于 2016-12-2 08:31:53
路过的帮顶
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笑天 发表于 2016-12-2 08:38:06
前排,哇咔咔
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lopa2380 发表于 2016-12-2 08:59:09
十动然拒回帖
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友易 发表于 2016-12-2 09:13:09
如果你真的爱他,那么你必须容忍他部份的缺点。
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iiejj 发表于 2016-12-2 09:13:11
支持楼主,拥护楼主,楼主英明呀!!!
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akod3368 发表于 2016-12-2 09:13:12
不作不死,No zUo No Die
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AA啊 发表于 2016-12-2 09:13:42
你就给我看这个?
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人将亡丶只因芯_ 发表于 2016-12-19 01:13:06
每次看到楼主的帖子都有惊吓!
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