How To Get Started With Machine Learning? | Two Minute Papers #51

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I get a lot of messages from you Fellow Scholars that you would like to get started in machine learning and are looking for materials. Below you find a ton of resources to get you started!

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The AI Revolution: The Road to Superintelligence on Wait But Why:
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html

Superintelligence by Nick Bostrom:
https://en.wikipedia.org/wiki/Superintelligence:_Paths,_Dangers,_Strategies

Courses:
Welch Labs - https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU
Andrew Ng on Coursera - https://class.coursera.org/ml-005/lecture
Andrew Ng (YouTube playlist) - https://www.youtube.com/playlist?list=PLA89DCFA6ADACE599
Nando de Freitas (UBC) - https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf
Nando de Freitas (Oxford) - https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
Nando de Freitas (more) - https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6
https://www.youtube.com/watch?v=PlhFWT7vAEw&list=PLjK8ddCbDMphIMSXn-w1IjyYpHU3DaUYw
One more at Caltech - https://work.caltech.edu/telecourse.html
Andrej Karpathy - https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC
UC Berkeley - https://www.youtube.com/channel/UCshmLD2MsyqAKBx8ctivb5Q/videos
Geoffrey Hinton - https://www.coursera.org/course/neuralnets
Machine Learning specialization at Coursera - https://www.coursera.org/specializations/machine-learning
MIT - http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/
Mathematicalmonk's course: https://www.youtube.com/watch?v=yDLKJtOVx5c&list=PLD0F06AA0D2E8FFBA&index=0

"Pattern Recognition and Machine Learning" by Christoper Bishop:
http://research.microsoft.com/en-us/um/people/cmbishop/prml/

"Algorithms for Reinforcement Learning" by Csaba Szepesvári:
http://www.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf

A great talk on deep learning libraries:
https://www.youtube.com/watch?v=Vf_-OkqbwPo&feature=youtu.be

Two great sources to check for new papers:
http://gitxiv.com/top
http://www.arxiv-sanity.com/top

Recent machine learning papers on the arXiv:
http://arxiv.org/list/stat.ML/recent

The Machine Learning Reddit:
http://www.reddit.com/r/MachineLearning/

One more great post on how to get started with machine learning:
https://www.quora.com/How-do-I-get-started-in-machine-learning-both-theory-and-programming/answer/Sebastian-Raschka-1

A great blog post on how to get started with Keras:
http://swanintelligence.com/first-steps-with-neural-nets-in-keras.html

A website with lots of intuitive articles on deep learning:
http://neuralnetworksanddeeplearning.com/

A free book on deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville:
http://www.deeplearningbook.org/

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