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/mlg/ Machine Learning General

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How can I start?

>https://www.coursera.org/learn/machine-learning
>Free tutorial course provided by Dr. Andrew Ng, Co-founder of Coursera.
>If you end this course, You can now code OCR by yourself.

>http://cs231n.stanford.edu/
>https://archive.org/details/cs231n-CNNs
>Free lecture provided by University of Stanford.

>https://www.youtube.com/watch?v=2pWv7GOvuf0 [Embed]
>David Silver, lead programmer at DeepMind give us a lecture.

>https://medium.com/towards-data-science/the-mathematics-of-machine-learning-894f046c568
>A list of basic mathematics required for ML

>Others
>https://karpathy.github.io/neuralnets/
>https://github.com/rasbt/python-machine-learning-book
>https://swalloow.github.io/pyml-intro1
>https://www.amazon.com/Machine-Learning-Dummies-John-Mueller/dp/1119245516
>https://www.amazon.com/Machine-Learning-Absolute-Beginners-Introduction/dp/152095140X/ref=pd_lpo_sbs_14_t_0?_encoding=UTF8&psc=1&refRID=ZB5BEV2V6RRSY84RE0M2
>http://course.fast.ai/
>http://freesearch.pe.kr/archives/1581

How can I elaborate?

>https://github.com/HFTrader/DeepLearningBook/raw/master/DeepLearningBook.pdf
>Wrote by Ian Goodfellow, Read it if you have already have a solid undergraduate level CS and math background.


Recommended Website
>https://www.reddit.com/r/MachineLearning/comments/6jgdva/d_machine_learning_wayr_what_are_you_reading_week/
>https://www.reddit.com/r/MachineLearning/
>Yes, It's Reddit. But It has many helpful articles though.


Do you have more? Share it!
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I think this post is more appropriate on /sci/ than /g/
Hinton course, nice one to complete after Andrew Ng's course -
https://www.coursera.org/learn/neural-networks
Deep Learning Book - Consolidated material -http://www.deeplearningbook.org/
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