人工智慧:觀點、文章、影片與資源整理懶人包

人工智慧(artificial intelligence, AI)應該會是這幾年的網路產業的新寵兒,隨著愈來愈多「機器人」被開發出來,我猜想距離人工智慧的奇點爆發也愈來愈近,或許這兩三年之內就會有一個足以被普羅大眾應用的人工智慧應用。

以下整理了一些國外關於人工智慧與機械學習(machine learning, ML)的觀點、新聞、教學與影片等資料,如果對於人工智慧有興趣的朋友不妨參考。當然,因為台灣現在還沒有開始大量研究這樣的題目,所以可以到的資源其實相當有限,我會試著把我看過覺得適合的文章漸漸翻譯出來,但就要給我一點時間了…

入門

那個… 因為入門之後的部分非常長,如果你只是想知道人工智慧和機械學習大概是在幹嘛,那麼看這五篇大概就夠了。(我大概也只會把這五篇翻成中文 XD)

  1. A 6 minute Intro to AI(6 分鐘了解人工智慧)
    https://snips.ai/content/intro-to-ai/
  2. A Visual Introduction to Machine Learning(圖解機械學習,這篇有中文!)
    http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
  3. Machine Learning for Dummies(給新手的機械學習)
    https://chatbotslife.com/machine-learning-for-dummies-part-1-dbaca076ec07#.9o7m2qn2i
  4. Machine Learning is Fun!
    https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471#.kunybmamv
  5. The Ultimate Beginner’s Guide to Deep Learning in Python(給新手的深度學習:以 Python 為例)
    https://elitedatascience.com/keras-tutorial-deep-learning-in-python

觀點

  1. Our Fear of Artificial Intelligence(我們對人工智慧的擔憂)
    https://www.technologyreview.com/s/534871/our-fear-of-artificial-intelligence/
  2. AI Winter Isn’t Coming(人工智慧的寒冬還不會到來)
    https://www.technologyreview.com/s/603062/ai-winter-isnt-coming/
  3. The AI Revolution: The Road to Superintelligence(人工智慧的進化:往超智慧之路)
    http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
  4. The AI Revolution: Our Immortality or Extinction(人工智慧的進化:我們將永生還是滅絕?)
    http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html
  5. How We’re Predicting AI—or Failing To
    https://intelligence.org/files/PredictingAI.pdf
  6. This is Probably a Good Time to Say That I Don’t Believe Robots Will Eat All the Jobs …
    http://blog.pmarca.com/2014/06/13/this-is-probably-a-good-time-to-say-that-i-dont-believe-robots-will-eat-all-the-jobs/
  7. 6 areas of AI and machine learning to watch closely(6 個值得關注的人工智慧與機械學習領域)
    https://medium.com/@NathanBenaich/6-areas-of-artificial-intelligence-to-watch-closely-673d590aa8aa#.y9q8pgbfz
  8. Recognizing Traffic Lights With Deep Learning(用深度學習看懂交通號誌)
    https://medium.freecodecamp.com/recognizing-traffic-lights-with-deep-learning-23dae23287cc#.m2j8e9zbm
  9. Deep Learning is Revolutionary(下一場革命:深度學習)
    https://medium.com/transmission-newsletter/deep-learning-is-revolutionary-d0f3667bafa0#.se58bfkal
  10. The Many Tribes of Artificial Intelligence(太多人在研究人工智能了)
    https://medium.com/intuitionmachine/the-many-tribes-problem-of-artificial-intelligence-ai-1300faba5b60#.6xun82ic4
  11. Understanding How Machines Learn, Through Prototyping(透過產品原形理解機械如何自我學習)
    https://medium.com/bigtomorrow/understanding-how-machines-learn-through-prototyping-9bdaa3ce7baa#.gwuqj67q9
  12. Why go long on artificial intelligence?
    https://medium.com/@NathanBenaich/why-go-long-on-artificial-intelligence-67bb7d0d6ff4#.1gyoysbak
  13. Artificial Intelligence At Work: The Future Of Workplace
    https://medium.com/the-mission/artificial-intelligence-at-work-the-future-of-workplace-ae0b3a4b1dda#.d2v4922og
  14. An exclusive inside look at how artificial intelligence and machine learning work at Apple
    https://backchannel.com/an-exclusive-look-at-how-ai-and-machine-learning-work-at-apple-8dbfb131932b#.ekdykpvd3
  15. Here’s what Consumers Expect in the Age of AI(人工智慧:消費者期待的是什麼?)
    https://blog.semantics3.com/consumer-expectations-in-the-age-of-ai-245e90eab4bc#.qvlztyqwc
  16. The Great A.I. Awakening
    https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html
  17. 7 AI trends to watch in 2017(2017 年值得關注的 7 個 AI 潮流)
    https://www.oreilly.com/ideas/7-ai-trends-to-watch-in-2017
  18. The ethics of artificial intelligence
    https://www.oreilly.com/ideas/the-ethics-of-artificial-intelligence
  19. How Long Before AI Systems Are Hacked in Creative New Ways?
    https://www.technologyreview.com/s/603116/how-long-before-ai-systems-are-hacked-in-creative-new-ways/
  20. The nature of intelligence
    https://hackernoon.com/the-nature-of-intelligence-72ba91139e30#.fw1roqsy0
  21. The Non-Technical Guide to Machine Learning & Artificial Intelligence(機械學習與人工智慧:給沒有資訊背景的讀者)
    https://machinelearnings.co/a-humans-guide-to-machine-learning-e179f43b67a0#.m0ggsj1a1
  22. This Week in Machine Learning
    https://medium.com/udacity/this-week-in-machine-learning-13-january-2017-deep-learning-edition-23ef23502aaa#.taspbf3fi
  23. Bring Magic To Your Mobile App With Deep Learning
    https://medium.com/@avihay/bring-magic-to-your-mobile-app-with-deep-learning-184d9062d7fc#.io4nhfroa
  24. The AI Takeover Is Coming. Let’s Embrace It.
    https://backchannel.com/the-ai-takeover-is-coming-lets-embrace-it-d764d61f83a#.inubfqet8
  25. Machine Learning Is No Longer Just for Experts.
    https://hbr.org/2016/10/machine-learning-is-no-longer-just-for-experts
  26. The Alien Style of Deep Learning Generative Design
    https://medium.com/intuitionmachine/the-alien-look-of-deep-learning-generative-design-5c5f871f7d10#.swfde2ig1
  27. Learning AI if You Suck at Math(數學很爛,但是一樣可以學 AI)
    https://hackernoon.com/learning-ai-if-you-suck-at-math-8bdfb4b79037#.l03tkqa3p
  28. GANs will change the world
    https://medium.com/@Moscow25/gans-will-change-the-world-7ed6ae8515ca#.91vx5kc4q
  29. Democratizing Machine Learning, Looking at Bots, and Rethinking the Web
    https://iot-for-all.com/last-week-in-the-future-v3-0-83ebf6f459ec#.smf160oek
  30. Artificial Intelligence + Human Intelligence = Our Future
    https://hackernoon.com/artificial-intelligence-human-intelligence-our-future-e1d8cbda8543
  31. Intelligent products should give you superpowers
    https://hackernoon.com/intelligent-products-should-give-you-superpowers-eb546df73b10#.itxs6ctqc
  32. Deep Learning Is Going to Teach Us All the Lesson of Our Lives: Jobs Are for Machines
    https://medium.com/basic-income/deep-learning-is-going-to-teach-us-all-the-lesson-of-our-lives-jobs-are-for-machines-7c6442e37a49#.vyog2w4xq
  33. 2016: The Year That Deep Learning Took Over the Internet
    https://www.wired.com/2016/12/2016-year-deep-learning-took-internet/

書籍

  1. Your First Machine Learning Project in Python Step-By-Step
    http://machinelearningmastery.com/machine-learning-in-python-step-by-step/
  2. Real-World Machine Learning
    https://www.manning.com/books/real-world-machine-learning
  3. The Quest For Artificial Intelligence
    http://ai.stanford.edu/~nilsson/QAI/qai.pdf
  4. Machine Learning in a Year
    https://medium.com/learning-new-stuff/machine-learning-in-a-year-cdb0b0ebd29c#.7gmxn5qxz
  5. Machine Learning with Spark
    https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-spark
  6. Machine Learning with R
    https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-r
  7. How to Create a Mind
    http://a.co/7tFIVuv
  8. Superintelligence: Paths, Dangers, Strategies
    http://a.co/9NLj6VF
  9. The Master Algorithm
    http://a.co/8XZvifJ
  10. Python Machine Learning
    http://a.co/8GYH0lB
  11. Make Your Own Neural Network
    http://a.co/88zDlJP
  12. Deep Learning (Adaptive Computation and Machine Learning series)
    http://a.co/ioLx86e
  13. Fundamentals of Machine Learning for Predictive Data Analytics
    http://a.co/1mCVFeb
  14. Machine Learning: The Art and Science of Algorithms that Make Sense of Data
    http://a.co/eoXiNCP
  15. On Intelligence
    http://a.co/hzTf9qz
  16. R Programming for Data Science
    https://leanpub.com/rprogramming
  17. Practical Artificial Intelligence Programming With Java
    https://leanpub.com/javaai
  18. A Deep Learning Tutorial: From Perceptrons to Deep Networks
    https://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks
  19. Deep Learning: An MIT Press Book
    http://www.deeplearningbook.org/
  20. Natural Language Processing with Python
    http://www.nltk.org/book/
  21. Neural Networks and Deep Learning
    http://neuralnetworksanddeeplearning.com/
  22. A First Encounter with Machine Learning
    https://www.ics.uci.edu/~welling/teaching/273ASpring10/IntroMLBook.pdf
  23. Learning From Data
    http://a.co/bDc10Eh
  24. A Course in Machine Learning
    http://ciml.info/

教學

  1. Deep Learning, NLP, and Representations
    http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
  2. Learning Reinforcement Learning
    http://www.wildml.com/2016/10/learning-reinforcement-learning/
  3. Deep Learning Glossary
    http://www.wildml.com/deep-learning-glossary/
  4. Implementing a Neural Network from Scratch in Python
    http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/
  5. A Full Hardware Guide to Deep Learning
    http://timdettmers.com/2015/03/09/deep-learning-hardware-guide/
  6. Infrastructure for Deep Learning
    https://openai.com/blog/infrastructure-for-deep-learning/
  7. Deep Learning Cheat Sheet
    https://hackernoon.com/deep-learning-cheat-sheet-25421411e460#.161lkp72u
  8. Learn TensorFlow and deep learning, without a Ph.D.
    https://cloud.google.com/blog/big-data/2017/01/learn-tensorflow-and-deep-learning-without-a-phd
  9. Hacker’s guide to Neural Networks
    http://karpathy.github.io/neuralnets/
  10. Recurrent Neural Networks for Beginners
    https://medium.com/@camrongodbout/recurrent-neural-networks-for-beginners-7aca4e933b82#.c1wwefnoa
  11. The Anatomy of Deep Learning Frameworks
    https://medium.com/@gokul_uf/the-anatomy-of-deep-learning-frameworks-46e2a7af5e47#.oibpt8ny7
  12. TensorFlow in a Nutshell
    https://medium.com/@camrongodbout/tensorflow-in-a-nutshell-part-one-basics-3f4403709c9d#.yzmvysxmi
  13. The Definitive Guide to Natural Language Processing
    https://blog.monkeylearn.com/the-definitive-guide-to-natural-language-processing/
  14. A Gentle Guide to Machine Learning
    https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/
  15. Machine Learning in Python Course
    https://www.springboard.com/learning-paths/machine-learning-python/

新聞

  1. AI Weekly
    http://aiweekly.co/
  2. The Wild Week in AI
    https://www.getrevue.co/profile/wildml
  3. Emergent // Future
    http://blog.algorithmia.com/category/emergent-future/
  4. ML Weekly
    http://mlweekly.com
  5. Data Science Weekly Newsletter
    https://www.datascienceweekly.org/
  6. Deep Hunt
    https://www.getrevue.co/profile/hindupuravinash
  7. O’Reilly Artificial Intelligence Newsletter
    http://www.oreilly.com/ai/newsletter.html
  8. Deep Learning Weekly
    http://digest.deeplearningweekly.com/
  9. Machine Learnings
    http://subscribe.machinelearnings.co/

Podcasts(這個應該比較少人在用…)

  1. Linear Digressions
    http://lineardigressions.com/
  2. This Week in Machine Learning and AI
    https://twimlai.com/
  3. Data Stories
    http://datastori.es/
  4. Talking Machines
    http://www.thetalkingmachines.com/
  5. Data Skeptic
    http://dataskeptic.com/podcast

影片

  1. Stanford Machine Learning
    https://www.youtube.com/view_play_list?p=A89DCFA6ADACE599
  2. Machine Learning Coursera
    https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW
  3. MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
    https://www.youtube.com/watch?v=1L0TKZQcUtA
  4. Intro to Machine Learning
    https://www.youtube.com/playlist?list=PLAwxTw4SYaPkQXg8TkVdIvYv4HfLG7SiH
  5. Machine Learning Recipes
    https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
  6. Better Medicine Through Machine Learning
    https://www.youtube.com/watch?v=Nj2YSLPn6OY
  7. The Deep End of Deep Learning
    https://www.youtube.com/watch?v=dz_jeuWx3j0
  8. The art of neural networks
    https://www.youtube.com/watch?v=0qVOUD76JOg
  9. What happens when our computers get smarter than we are?
    https://www.youtube.com/watch?v=MnT1xgZgkpk
  10. The wonderful and terrifying implications of computers that can learn
    https://www.youtube.com/watch?v=t4kyRyKyOpo
  11. Machine Learning with Python
    https://www.youtube.com/playlist?list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v
  12. Machine learning & art – Google I/O 2016
    https://www.youtube.com/watch?v=egk683bKJYU