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Name: Clusters
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Name: Clusters
Type: User
Company: Clusters
Bio: Clusters
Location: Clusters
Blog: Clusters
Lectures from the Machine Learning course
List of all the lessons learned, best practices, and links from my time studying machine learning
Implementation of a Bayesian-style market maker in the vein of 'Intelligent Market-Making in Artificial Financial Markets' by Sanmay Das
Matlab implementation of Machine Learning algorithms
some algorithm in machine learning using matlab
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
the best machine learning tutorials on the web
From Udacity
Codes, notes and guides on Udacity's machine learning nanodegree.
Udacity's Machine Learning Nanodegree project files and notes.
Ipython notebook that illustrates effectiveness of machine learning algorithms in anomaly detection of netflow data (inbound/outbound DDoS, etc...)
机器学习笔记
Stanford Machine Learning course exercises implemented with scikit-learn
机器学习笔记
Notes for several Machine Learning and Deep Learning courses, textbooks, and talks
Jupyter notebooks for Machine Learning practice
机器学习选股模型
Deploying machine learning models to Azure
Image and Objects classifier using machine learning method
Testing out ML Library ideas in Processing
My solutions to the programming exercises from Stanford's Machine Learning online course
機器學習: Python
R code for machine learning experiments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.