Typescript + Machine Learning + simplicity = Kalimdor.js

The NPM package for general Machine Learning

https://itnext.io/typescript-machine-learning-simplicity-kalimdor-js-bb1ccadf0ad3

Machine learning proliferates in particle physics https://www.symmetrymagazine.org/article/machine-learning-proliferates-in-particle-physics @ArtificialIntelligenceArticles

Improving Energy Materials Using Quantum Physics and Machine Learning https://morainevalley.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1ab9213e-fde0-41c7-8881-a97d014dfa84

Build a Deep Learning model in 15 minutes https://tech.instacart.com/how-to-build-a-deep-learning-model-in-15-minutes-a3684c6f71e @ArtificialIntelligenceArticles

Martingale Functional Control variates via Deep Learning. https://arxiv.org/abs/1810.05094 @ArtificialIntelligenceArticles

New Deep Learning Techniques 2018
Daniel Rueckert: "Deep learning in medical imaging"
https://goo.gl/UwXTBm @ArtificialIntelligenceArticles

Machine Learning and Likelihood-Free Inference in Particle Physics video : https://goo.gl/cBuJLH @ArtificialIntelligenceArticles

AI + Aerospace | Cosmology | Physics

A few useful references : https://montrealartificialintelligence.com/space/#References #aerospace #cosmology @ArtificialIntelligenceArticles

"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

Ten Simple Rules for Reproducible Research in Jupyter Notebooks

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/

How machine learning helps cancer research
https://goo.gl/Hz6Mbc @ArtificialIntelligenceArticles

"Artificial Intelligence needs all of us."

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

A Programmer’s Intuition for Matrix Multiplication

By BetterExplained: https://betterexplained.com/articles/matrix-multiplication/

Python Machine Learning
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 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