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for unix filesystem.
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 1\lecture 2 - linear regression.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 2\probability recap slides.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 3\lecture on support vector machines, the first part.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 3\slides on gradient optimization.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 1\first lecture ML, revised version.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 2\recapitulation on gradients in multiple dimensions.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 1\first assignment for homework.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 2\recapitulation of regression lecture.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 4\kernel ridge regression, clustering, kernel clustering.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 3\assignment 2.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 5\Design Project.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 4\lecture on Support Vector Machines - part 2- kernels.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 5\assignment 3.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 3\why we cannot use gradient for zero one loss.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 5\lecture on mixture models - more explanations.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 5\1.5 Lectures on probabilistic models.pdf
Summoning: /Users/JiaHao/Desktop/portal\Machine Learning 2015\Week 6\lecture on neural nets.pdf
Summoning: /Users/JiaHao/Desktop/portal\Database 2015\Week 0\Project.pdf
Now the files are titled portal\Database 2015\Week 0\Project.pdf
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.