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100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
A/B Testing — A complete guide to statistical testing
Machine Learning 1 Course Project
Machine Learning 1 Laboratory2
List of resources for bayesian inference
数据科学/人工智能比赛解决方案汇总
A list of learning materials to understand databases internals
Collection of awesome interview references.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome resources about Recommender Systems.
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.
A complete computer science study plan to become a software engineer.
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Resoruce to help you to prepare for your comming data science interviews
Curated list of data science interview questions and answers
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
An implementation of DRAW (Deep Recurrent Attention Writer) and VAE(Variational Auto-Encoder)
Deep Learning introduction and its application in various fields
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Time Series Forecasting Best Practices & Examples
Generative Adversarial Imputation Networks (GAIN)
Tutorial on creating your own GAN in Tensorflow
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.