Weak Supervision: A New Programming Paradigm for Machine Learning:
http://ai.stanford.edu/blog/weak-supervision/
http://ai.stanford.edu/blog/weak-supervision/
SAIL Blog
Weak Supervision: A New Programming Paradigm for Machine Learning
On using weak supervision, or high-level noisy sources of labels, to efficiently label training data.
23 марта в офисе mail.ru проводится бесплатная конференция по машинному обучению.
С докладами выступят программисты Почты Mail.ru и разработчики направлений машинного обучения.
Подробную информацию можно узнать по адресу: https://vk.cc/99ejkv
С докладами выступят программисты Почты Mail.ru и разработчики направлений машинного обучения.
Подробную информацию можно узнать по адресу: https://vk.cc/99ejkv
How to Clean Your Data Quickly in 5 Steps:
https://www.chi2innovations.com/blog/discover-data-blog-series/how-clean-your-data-quickly-5-steps/
https://www.chi2innovations.com/blog/discover-data-blog-series/how-clean-your-data-quickly-5-steps/
Chi-Squared Innovations
How to clean your data quickly in 5 steps
If you get organised and learn a few tricks there are ways to fast-track your data cleaning and get it done quickly when you follow these 5 steps.
A neural data science: how and why.The rough guide to doing data science on neurons
https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2
https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2
Medium
A neural data science: how and why
The rough guide to doing data science on neurons
A Simple Guide to Semantic Segmentation.
A comprehensive review of Classical and Deep Learning methods for Semantic Segmentation
https://medium.com/beyondminds/a-simple-guide-to-semantic-segmentation-effcf83e7e54?sk=3d1a5a32a19d611fbd81028cfd4f23fd
A comprehensive review of Classical and Deep Learning methods for Semantic Segmentation
https://medium.com/beyondminds/a-simple-guide-to-semantic-segmentation-effcf83e7e54?sk=3d1a5a32a19d611fbd81028cfd4f23fd
Medium
A Simple Guide to Semantic Segmentation
A comprehensive review of Classical and Deep Learning methods for Semantic Segmentation
Learnability can be undecidable
https://www.nature.com/articles/s42256-018-0002-3.pdf
https://www.nature.com/articles/s42256-018-0002-3.pdf
Nature
Learnability can be undecidable
Nature Machine Intelligence - Not all mathematical questions can be resolved, according to Gödel’s famous incompleteness theorems. It turns out that machine learning can be vulnerable to...
DevDocs combines multiple developer documentations in a clean and organized web UI with instant search, offline support, mobile version, dark theme, keyboard shortcuts, and more.
https://devdocs.io/
https://devdocs.io/
devdocs.io
DevDocs API Documentation
Fast, offline, and free documentation browser for developers. Search 100+ docs in one web app: HTML, CSS, JavaScript, PHP, Ruby, Python, Go, C, C++…
Open-sourcing PyTorch-BigGraph for faster embeddings of extremely large graphs
Facebook выложил эмбеддинги Wikidata + PyTorch-расширение.
https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs/
Facebook выложил эмбеддинги Wikidata + PyTorch-расширение.
https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs/
Facebook
PyTorch-BigGraph: Faster embeddings of large graphs
Facebook AI has created and is now open-sourcing PyTorch-BigGraph (PBG), a tool that makes it much faster and easier to produce graph embeddings for extremely large graphs.
An Introduction to Biomedical Image Analysis with TensorFlow and DLTK
https://medium.com/tensorflow/an-introduction-to-biomedical-image-analysis-with-tensorflow-and-dltk-2c25304e7c13
https://medium.com/tensorflow/an-introduction-to-biomedical-image-analysis-with-tensorflow-and-dltk-2c25304e7c13
Medium
An Introduction to Biomedical Image Analysis with TensorFlow and DLTK
By Martin Rajchl, S. Ira Ktena and Nick Pawlowski — Imperial College London
The javanoscript architecture-free neural network library for node.js and the browser
#NeuralNetworkJavaScript
http://caza.la/synaptic/#/
#NeuralNetworkJavaScript
http://caza.la/synaptic/#/
Neural networks in JavaScript
A fun and practical introduction to Brain.js. This course teaches you how to build neural networks in JavaScript through 19 interactive tutorials.
#NeuralNetworkJavaScript
https://scrimba.com/g/gneuralnetworks
A fun and practical introduction to Brain.js. This course teaches you how to build neural networks in JavaScript through 19 interactive tutorials.
#NeuralNetworkJavaScript
https://scrimba.com/g/gneuralnetworks
Scrimba
Neural Networks in JavaScript
A fun and practical Brain.js tutorial. This 19-part course teaches you how to build neural networks in JavaScript through interactive Scrimba tut
Brainy: A simple PHP class for Machine Learning
#PHPMachineLearning
https://www.danielefavi.com/brainy-a-simple-php-class-for-machine-learning/
#PHPMachineLearning
https://www.danielefavi.com/brainy-a-simple-php-class-for-machine-learning/
Full stack and Blockchain Developer
Brainy: a simple PHP class for machine learning - Full stack and Blockchain Developer
Brainy is a simple PHP class for machine learning. The class helps you to create your neural network. Simple to install and to use. Check it out :)
PHP-ML - Machine Learning library for PHP
#PHPMachineLearning
https://php-ml.readthedocs.io/en/latest/
#PHPMachineLearning
https://php-ml.readthedocs.io/en/latest/
php-ml.readthedocs.io
Home - PHP-ML - Machine Learning library for PHP
None
Pyodide: Bringing the scientific Python stack to the browser
https://hacks.mozilla.org/2019/04/pyodide-bringing-the-scientific-python-stack-to-the-browser/
https://hacks.mozilla.org/2019/04/pyodide-bringing-the-scientific-python-stack-to-the-browser/
Mozilla Hacks – the Web developer blog
Pyodide: Bringing the scientific Python stack to the browser
Pyodide is an experimental project from Mozilla to create a full Python data science stack that runs entirely in the browser. We think it’s worthwhile to work on moving the ...
Computational and Inferential Thinking.
The Foundations of Data Science.
By Ani Adhikari and John DeNero
https://www.inferentialthinking.com/chapters/intro
The Foundations of Data Science.
By Ani Adhikari and John DeNero
https://www.inferentialthinking.com/chapters/intro
Forwarded from EarthML
Pandas for Geospatial data:
🐼Working with coordinates can be a nightmare and GeoPandas tool comes quite handy.
The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS.
🌎 Learn more here: http://geopandas.org/
Stay tuned, subscribe and share!
xoxo
🐼Working with coordinates can be a nightmare and GeoPandas tool comes quite handy.
The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS.
🌎 Learn more here: http://geopandas.org/
Stay tuned, subscribe and share!
xoxo
THE DATA SCIENCE INTERVIEW STUDY GUIDE
https://www.coriers.com/the-data-science-interview-study-guide/
https://www.coriers.com/the-data-science-interview-study-guide/
Coriers
The Data Science Interview Study Guide - Coriers
By Ben Rogojan Data science technical interviews, like other technical interviews require plenty of preparation. There are lots of subjects that need to be covered in order to ensure you are ready for a data science interview. Before we get started. We want…