Доклады с source{d} митапа про ML на исходном коде
https://www.youtube.com/playlist?list=PL5Ld68ole7j3iQFUSB3fR9122dHCUWXsy
https://www.youtube.com/playlist?list=PL5Ld68ole7j3iQFUSB3fR9122dHCUWXsy
YouTube
source{d} tech talks - Machine Learning 2017 - YouTube
Predicting Football Results With Statistical Modelling
https://dashee87.github.io/football/python/predicting-football-results-with-statistical-modelling/
https://dashee87.github.io/football/python/predicting-football-results-with-statistical-modelling/
dashee87.github.io
Predicting Football Results With Statistical Modelling
Combining the world’s most popular sport with everyone’s favourite discrete probability distribution, this post predicts football matches using the Poisson distribution.
Градиентный бустинг
https://alexanderdyakonov.wordpress.com/2017/06/09/%D0%B3%D1%80%D0%B0%D0%B4%D0%B8%D0%B5%D0%BD%D1%82%D0%BD%D1%8B%D0%B9-%D0%B1%D1%83%D1%81%D1%82%D0%B8%D0%BD%D0%B3/#more-5246
https://alexanderdyakonov.wordpress.com/2017/06/09/%D0%B3%D1%80%D0%B0%D0%B4%D0%B8%D0%B5%D0%BD%D1%82%D0%BD%D1%8B%D0%B9-%D0%B1%D1%83%D1%81%D1%82%D0%B8%D0%BD%D0%B3/#more-5246
Анализ малых данных
Градиентный бустинг
Пост про градиентный бустинг (Gradient Boosting), но не совсем обычный. Вместо текста прикрепляю pdf. Вопрос к читателям блога: будет ли полезно, если я подготовлю книжку в таком стиле по основным …
Playing a toy poker game with Reinforcement Learning
http://willtipton.com/coding/poker/2017/06/06/shove-fold-with-reinforcement-learning.html
http://willtipton.com/coding/poker/2017/06/06/shove-fold-with-reinforcement-learning.html
Willtipton
Playing a toy poker game with Reinforcement Learning
Coding and poker, mostly.
A DJ Khaled themed object recognizer app using inception v3, iOS CoreML and Vision
https://github.com/G2Jose/CoreMLVisionDJKhaled
https://github.com/G2Jose/CoreMLVisionDJKhaled
GitHub
G2Jose/CoreMLVisionDJKhaled
CoreMLVisionDJKhaled - Check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs
MNIST FOR ML BEGINNERS: THE BAYESIAN WAY
https://alpha-i.co/blog/MNIST-for-ML-beginners-The-Bayesian-Way.html
https://alpha-i.co/blog/MNIST-for-ML-beginners-The-Bayesian-Way.html
CortexNet: a robust predictive deep neural network trained on videos
https://engineering.purdue.edu/elab/CortexNet/
https://engineering.purdue.edu/elab/CortexNet/
Google releases imagenet pre-trained mobilenet (faster/more-accurate than alexnet) models
https://research.googleblog.com/2017/06/mobilenets-open-source-models-for.html
https://research.googleblog.com/2017/06/mobilenets-open-source-models-for.html
research.google
MobileNets: Open-Source Models for Efficient On-Device Vision
Posted by Andrew G. Howard, Senior Software Engineer and Menglong Zhu, Software Engineer(Cross-posted on the Google Open Source Blog)Deep learning ...
Dropout — метод решения проблемы переобучения в нейронных сетях
https://habrahabr.ru/company/wunderfund/blog/330814/
https://habrahabr.ru/company/wunderfund/blog/330814/
Хабр
Dropout — метод решения проблемы переобучения в нейронных сетях
Переобучение (overfitting) — одна из проблем глубоких нейронных сетей (Deep Neural Networks, DNN), состоящая в следующем: модель хорошо объясняет только пример...
Один из самых значимых результатов в AI Safety (и не только) за последнее время, полученный при коллаборации исследователей из OpenAI и Deepmind.
https://blog.openai.com/deep-reinforcement-learning-from-human-preferences/
https://blog.openai.com/deep-reinforcement-learning-from-human-preferences/
OpenAI
Learning from Human Preferences
One step towards building safe AI systems is to remove the need for humans to
write goal functions, since using a simple proxy for a complex goal, or getting
the complex goal a bit wrong, can lead to undesirable and even dangerous
behavior [https://arxiv…
write goal functions, since using a simple proxy for a complex goal, or getting
the complex goal a bit wrong, can lead to undesirable and even dangerous
behavior [https://arxiv…
AgeHack — первый онлайн-хакатон по продлению жизни на платформе MLBootCamp
https://habrahabr.ru/company/mailru/blog/330960/
https://habrahabr.ru/company/mailru/blog/330960/
Хабр
AgeHack — первый онлайн-хакатон по продлению жизни на платформе MLBootCamp
Сегодня, 15 июня, стартует чемпионат на платформе ML Boot Camp, посвященный проблемам здравоохранения и долголетия человечества. Чемпионат организован нами совм...
Keras implementation of [A simple neural network module for relational reasoning]
https://github.com/Alan-Lee123/relation-network
https://github.com/Alan-Lee123/relation-network
GitHub
Alan-Lee123/relation-network
relation-network - keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)
PyTorch Implementation of "Principled Detection of Out-of-Distribution Examples in Neural Networks" (UIUC, Cornell)
https://github.com/shiyuliang/odin-pytorch
https://github.com/shiyuliang/odin-pytorch
GitHub
ShiyuLiang/odin-pytorch
odin-pytorch - Principled Detection of Out-of-Distribution Examples in Neural Networks
A TensorFlow Implementation of the Transformer: Attention Is All You Need
https://github.com/Kyubyong/transformer
https://github.com/Kyubyong/transformer
GitHub
GitHub - Kyubyong/transformer: A TensorFlow Implementation of the Transformer: Attention Is All You Need
A TensorFlow Implementation of the Transformer: Attention Is All You Need - Kyubyong/transformer
Phase-Functioned Neural Networks for Character Control
http://theorangeduck.com/page/phase-functioned-neural-networks-character-control
http://theorangeduck.com/page/phase-functioned-neural-networks-character-control
Theorangeduck
Phase-Functioned Neural Networks for Character Control
Computer Science, Machine Learning, Programming, Art, Mathematics, Philosophy, and Short Fiction
Feeding Word2vec with tens of billions of items, what could possibly go wrong?
https://www.youtube.com/watch?v=qYpdW9cyEqY&feature=youtu.be&list=PLq-odUc2x7i-9Nijx-WfoRMoAfHC9XzTt
https://www.youtube.com/watch?v=qYpdW9cyEqY&feature=youtu.be&list=PLq-odUc2x7i-9Nijx-WfoRMoAfHC9XzTt
YouTube
#bbuzz 17: Feeding Word2vec with tens of billions of items, what could possibly go wrong?
Feeding Word2vec with tens of billions of items, what could possibly go wrong? Word2vec is an unsupervised algorithm which is able to represent words as vect...