CS基础:人工智能:学习人工智能如何入门

作者:numen智能研究院 / 公众号:Smart_Institute 发布时间:2019-08-18


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的一些很有用的内容。另一个类似的课程是,MIT 电子工程与计算机科学系已故教授 Marvin Minsky 的心灵的社会(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-868j-the-society-of-mind-fall-2011/)[24]。
关于学习人工智能,假如说有一个最重要的挑战,那它不是原材料和工具不易获得,因为它们有如此之多。我的目标并不是给你一个全面的指导,相反,而是指出了你可以去学习的不同路径,以及为你提供一些可能的起点。祝你学习愉快!
via:https://opensource.com/article/18/12/how-get-started-ai
作者:Gordon Haff
[1]https://www.youtube.com/watch?v=RLtI7r3QUyY
[2]https://www.edx.org/
[3]https://www.coursera.org/
[4]https://www.edx.org/course/calculus-1a-differentiation
[5]https://www.edx.org/course/linear-algebra-foundations-to-frontiers
[6]https://courses.edx.org/courses/course-v1:MITx+6.431x+3T2018/course/
[7]https://ocw.mit.edu/index.htm
[8]https://www.coursera.org/learn/neural-networks-deep-learning
[9]https://www.edx.org/micromasters/columbiax-artificial-intelligence
[10]http://neuralnetworksanddeeplearning.com/
[11]http://www.deeplearningbook.org/
[12]https://pytorch.org/
[13]https://www.edx.org/course/introduction-to-computer-science-and-programming-using-python
[14]https://www.coursera.org/learn/python
[15]https://www.r-project.org/about.html
[16]https://www.edx.org/professional-certificate/harvardx-data-science
[17]https://www.tensorflow.org/
[18]https://www.tensorflow.org/tutorials/
[19]https://www.kaggle.com/
[20]https://www.data.gov/
[21]https://hal.pratt.duke.edu/
[22]https://99percentinvisible.org/episode/children-of-the-magenta-automation-paradox-pt-1/
[23]https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-00sc-introduction-to-psychology-fall-2011/
[24]https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-868j-the-societ1y-of-mind-fall-2011/https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-868j-the-society-of-mind-fall-2011/https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-868j-the-society-of-mind-fall-2011/
编辑:Ray
我们不能帮助每一个人,但每一个人都可以帮到某个人。
We can't help everyone, but everyone can help someone.

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