资源 | 一文掌握机器学习所有值得看的视频、课程、工具
越来越多的开发者和学习者转投人工智能,但很多人鉴于跨行的难度,并不知道如何开始学习人工智能和机器学习。本文是作者Arun Agrahri整理的一些优秀文章,内容包括启发阅读和学习资源以及工具,希望能对你有所帮助。
启发性阅读
还不大了解人工智能行业的小伙伴可以看看以下文章,如果你已经转型AI,可跳过……
https://www.technologyreview.com/s/534871/our-fear-of-artificial-intelligence/
https://www.technologyreview.com/s/603062/ai-winter-isnt-coming/
https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html?_r=0
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/10df94bf-d932-5f63-98e8-dbc578b7518d?limit=100
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/9a9d957a-9a47-51c3-88d2-5c4fbe55b1fa?limit=100
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/
https://medium.com/@NathanBenaich/6-areas-of-artificial-intelligence-to-watch-closely-673d590aa8aa
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/d2d5232d-08ab-5ac7-9312-af7d5eee7441?limit=100
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/b81ead83-c668-560d-b33c-97321863d4cf?limit=100
https://medium.com/intuitionmachine/the-many-tribes-problem-of-artificial-intelligence-ai-1300faba5b60
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/99c82bcf-122b-5840-9e21-f1e1cd6848dd?limit=100
https://medium.com/the-mission/artificial-intelligence-at-work-the-future-of-workplace-ae0b3a4b1dda
https://medium.com/@NathanBenaich/why-go-long-on-artificial-intelligence-67bb7d0d6ff4
https://blog.semantics3.com/consumer-expectations-in-the-age-of-ai-245e90eab4bc
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/f693d03a-f4bb-56ba-a965-62f3d955f919?limit=100
https://www.oreilly.com/ideas/the-ethics-of-artificial-intelligence
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/de016ff4-4cdd-5a61-92f9-b759f9857b11?limit=100
https://www.wired.com/2016/12/the-ai-takeover-is-coming-lets-embrace-it/
https://hbr.org/2016/10/machine-learning-is-no-longer-just-for-experts
https://hackernoon.com/learning-ai-if-you-suck-at-math-8bdfb4b79037
https://meetnucleus.com/topics/f182da4c282d59c18a05f705c13b5b64/posts/619f69ea-d3dd-5f08-889c-48b6392a7ca8?limit=100
https://medium.com/basic-income/deep-learning-is-going-to-teach-us-all-the-lesson-of-our-lives-jobs-are-for-machines-7c6442e37a49
https://www.wired.com/2016/12/2016-year-deep-learning-took-internet/
AIML Tools&Resource
人工智能/机器学习工具和资源(必看)
Best Practices for ML Engineering
http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
Learn TensorFlow and deep learning, without a Ph.D.
https://meetnucleus.com/p/FQPuryEWqEQW
Fueling the Gold Rush: The Greatest Public Datasets for AI
https://medium.com/startup-grind/fueling-the-ai-gold-rush-7ae438505bc2
Attacking machine learning with adversarial examples
https://openai.com/blog/adversarial-example-research/
Gilt ♥ Open Source / Deep Learning at GILT
https://meetnucleus.com/p/LOQltvwI4iOP
A Beginner’s Guide To Understanding Convolutional Neural Networks
https://meetnucleus.com/p/Y5ZSoQjv7xWS
Unsupervised Feature Learning and Deep Learning Tutorial
http://deeplearning.stanford.edu/tutorial/
Machine Learning is Fun: Modern Face Recognition with Deep Learning
https://meetnucleus.com/p/I4iOPMSaHfor
Image Completion with Deep Learning in TensorFlow
https://meetnucleus.com/p/LpF7jCRgRITC
How to Code and Understand DeepMind’s Neural Stack Machine
https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/
Hacker Noon: Artificial Intelligence
https://hackernoon.com/artificial-intelligence/home
课程(必看)
Artificial Intelligence (AI)
https://meetnucleus.com/p/hWo55dP5Gn6A— Learn the fundamentals of Artificial Intelligence (AI). Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.
Machine Learning
https://meetnucleus.com/p/L2crRcdYTlra—Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
Learning From Data — Online Course (MOOC)
http://www.work.caltech.edu/telecourse.html — More than 4M views on Youtube and iTunes. Featured on edX. Free Course, Lecture Videos Available.
Machine Learning — University of Washington
https://www.coursera.org/specializations/machine-learning — Master machine learning fundamentals in four hands-on courses.
Neural Networks for Machine Learning
https://www.coursera.org/learn/neural-networks— Learn about artificial neural networks and how they’re being applied to speech and object recognition, image segmentation, modeling language and human motion. Free Course.
Machine Learning — Stanford University
https://www.coursera.org/learn/machine-learning — Free course created by Stanford University, taught by Andrew Ng.
Machine Learning Weekly
http://mlweekly.com/— Machine learning and deep learning blog (7.1k subscribers).
Data Science Weekly Newsletter
https://www.datascienceweekly.org/ — A free weekly newsletter featuring curated news, articles and jobs related to Data Science.
Machine Learnings
http://subscribe.machinelearnings.co/— A Weekly Roundup of ML & AI News. Machine Learning and AI are having a huge impact on our lives.
Artificial Intelligence News
http://aiweekly.co/— AI & Deep Learning Newsletter.
When trees fall…
https://meetnucleus.com/p/GVBR82UWhWb9— Machine learning and artificial intelligence blog.
WildML
https://meetnucleus.com/p/PoZVx95N9RGV— AI, Deep Learning, NLP Blog
Colah’s blog
https://meetnucleus.com/p/QyOfvn7aP9tj— Neural network focussed blog.
i am trask
https://meetnucleus.com/p/xiCS7oE9me3V— A machine learning craftsmanship blog by @iamtrask
原文地址
https://hackernoon.com/index-of-best-ai-machine-learning-resources-71ba0c73e34d
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