Machine Learning Resources

Best of free machine learning resources

Introduction to statistical learning 

https://www.statlearning.com/

Cool videos on Machine  learning 

https://www.youtube.com/watch?v=0MNVhXEX9to&feature=youtu.be

Machine Learning Street Talk 

https://www.youtube.com/channel/UCMLtBahI5DMrt0NPvDSoIRQ

Alfredo Canziani

https://www.youtube.com/channel/UCupQLyNchb9-2Z5lmUOIijw

Yanic Kilcher- ML paper reviews

https://www.youtube.com/c/YannicKilcher/videos

Deep Learning Berkley

https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5 

UC berkeley 

Designing, Visualizing, and Understanding Deep Neural Networks.

  • UC Berkeley.
  • 100% Free.
  • Spring 2021.

https://www.youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh

Made with ML

https://madewithml.com/

Applied Machine Learning 

https://youtube.com/watch?v=vcE9WGbi4QY&list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83&ab_channel=VolodymyrKuleshov

Intro to Deep Learning

 https://youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

Full Stack Deep Learning 

https://course.fullstackdeeplearning.com

CS 329S: Machine Learning Systems Design

 https://stanford-cs329s.github.io/syllabus.html

Andy Lukyaneko- Good place for ML paper reviews

https://andlukyane.com

Applied Machine Learning.

Cornell Tech, 2020.

100% Free.

80 videos.

https://youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83

Machine learning examples with code 

https://towardsai.net/p/machine-learning/machine-learning-algorithms-for-beginners-with-python-code-examples-ml-19c6afd60daa

Machine learning glossary

https://ml-cheatsheet.readthedocs.io/en/latest/

Interpretable machines

alignmentforum.org

ML notes

https://theptrk.files.wordpress.com/2020/02/aicartoons_week_1_5.pdf

Trending machine learning papers

http://www.arxiv-sanity.com/

https://42papers.com/

https://papers.labml.ai/papers/daily

Collages for ML papers 

https://mobile.twitter.com/hashtag/mlcollage

Microsoft ML for beginners  

https://github.com/microsoft/ML-For-Beginners

ML Blog

https://eugeneyan.com/start-here/

Math

https://twitter.com/prasoonpratham/status/1428325796431777792?s=21

Deep learning drizzle 

https://deep-learning-drizzle.github.io/

Open resources for imaging

https://www.frontiersin.org/articles/10.3389/fcvm.2020.00025/full#T7

Yan LeCunn Course on DL

https://cds.nyu.edu/deep-learning/

https://probability4datascience.com/

 

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