"Mathematics for Machine Learning": drafts for all chapters are now available https://mml-book.github.io/ @ArtificialIntelligenceArticles
Machine Learning Papers with Code - A searchable site that links machine learning papers on ArXiv with code on GitHub
https://paperswithcode.com/ @ArtificialIntelligenceArticles
https://paperswithcode.com/ @ArtificialIntelligenceArticles
Ten Simple Rules for Reproducible Research in Jupyter Notebooks
Rule et al.: https://arxiv.org/abs/1810.08055
#100DaysOfMLCode #BigData #ComputerScience #DataScience #MachineLearning
Rule et al.: https://arxiv.org/abs/1810.08055
#100DaysOfMLCode #BigData #ComputerScience #DataScience #MachineLearning
A birds-eye view of optimization algorithms
By Fabian Pedregosa: https://fa.bianp.net/teaching/2018/eecs227at/
By Fabian Pedregosa: https://fa.bianp.net/teaching/2018/eecs227at/
"Artificial Intelligence needs all of us."
TEDxSanFrancisco talk by Rachel Thomasl: https://www.youtube.com/watch?v=LqjP7O9SxOM
#artificialintelligence #deeplearning #machinelearning
TEDxSanFrancisco talk by Rachel Thomasl: https://www.youtube.com/watch?v=LqjP7O9SxOM
#artificialintelligence #deeplearning #machinelearning
ProMP: Proximal Meta-Policy Search
Builds on MAML, E-MAML and DiCE.
Rothfuss et al.: https://arxiv.org/pdf/1810.06784.pdf
Code: https://github.com/jonasrothfuss/promp
Builds on MAML, E-MAML and DiCE.
Rothfuss et al.: https://arxiv.org/pdf/1810.06784.pdf
Code: https://github.com/jonasrothfuss/promp
A Programmer’s Intuition for Matrix Multiplication
By BetterExplained: https://betterexplained.com/articles/matrix-multiplication/
By BetterExplained: https://betterexplained.com/articles/matrix-multiplication/
Python Machine Learning
https://github.com/rasbt/python-machine-learning-book-2nd-edition
https://github.com/rasbt/python-machine-learning-book-2nd-edition
DIVE: Turn your data into stories without writing code
The publicly available system integrates semi-automated visualization and statistical analysis features. By the MIT Media Lab
https://dive.media.mit.edu
#ArtificialIntelligence #BigData #MachineLearning
@ArtificialIntelligenceArticles
The publicly available system integrates semi-automated visualization and statistical analysis features. By the MIT Media Lab
https://dive.media.mit.edu
#ArtificialIntelligence #BigData #MachineLearning
@ArtificialIntelligenceArticles
The Next Tech Talent Shortage: Quantum Computing Researchers
By Cade Metz: https://www.nytimes.com/2018/10/21/technology/quantum-computing-jobs-immigration-visas.html @ArtificialIntelligenceArticles
By Cade Metz: https://www.nytimes.com/2018/10/21/technology/quantum-computing-jobs-immigration-visas.html @ArtificialIntelligenceArticles
The videos for Conference on Learning Theory (COLT ) 2018 have been released:
Enjoy these 90+ short videos on the greatest learning theory results of 2018!
https://www.youtube.com/playlist?list=PLCHBdlWR7RYzMjoGTatLItEhisi5sBNFh
https://t.iss.one/ArtificialIntelligenceArticles
Enjoy these 90+ short videos on the greatest learning theory results of 2018!
https://www.youtube.com/playlist?list=PLCHBdlWR7RYzMjoGTatLItEhisi5sBNFh
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
COLT 2018 - YouTube
Best 20 AI and machine learning blogs to follow religiously https://gengo.ai/articles/best-20-ai-and-machine-learning-blogs-to-follow-religiously/
Machine Learning in the World of Nuclear Physics
Find out how TensorFlow applies to nuclear physics in the video below https://dzone.com/articles/machine-learning-in-the-world-of-nuclear-physics-v
Find out how TensorFlow applies to nuclear physics in the video below https://dzone.com/articles/machine-learning-in-the-world-of-nuclear-physics-v
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
https://arxiv.org/abs/1810.08272
@ArtificialIntelligenceArticles
https://arxiv.org/abs/1810.08272
@ArtificialIntelligenceArticles
Deep Learning and Reinforcement Learning Summer School, Toronto 2018
videos:
https://videolectures.net/DLRLsummerschool2018_toronto/ …
slides:
https://dlrlsummerschool.ca/speaker-slides/
videos:
https://videolectures.net/DLRLsummerschool2018_toronto/ …
slides:
https://dlrlsummerschool.ca/speaker-slides/
How to build your own AlphaZero AI using #Python and #Keras
https://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188
https://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188
"Neural Networks for Machine Learning by Geoffrey Hinton" (Coursera 2013)
https://www.youtube.com/playlist?list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0 or https://www.coursera.org/learn/neural-networks
https://www.youtube.com/playlist?list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0 or https://www.coursera.org/learn/neural-networks
Interview with The Youngest Kaggle Grandmaster: Mikel Bober-Irizar (anokas)
https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070
https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070