GithubHelp home page GithubHelp logo

ferhaterata / introductiontoprobabilitypy Goto Github PK

View Code? Open in Web Editor NEW

This project forked from buruzaemon/introductiontoprobabilitypy

0.0 0.0 0.0 1.59 MB

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

Jupyter Notebook 99.24% HTML 0.14% JavaScript 0.63%

introductiontoprobabilitypy's Introduction

Hi there 👋

  • 🎓 I'm currently a PhD candidate at Yale University.
  • 🔭 My recent research focuses on automated inference of properties and invariants from code.
  • ⚡ I use Machine Learning and Formal Techniques in my research. I like blending them.
  • 📕 I’m currently learning quantum computing.
  • 💬 Ask me about formal analysis
  • 📫 How to reach me: https://ferhat.ai

introductiontoprobabilitypy's People

Contributors

buruzaemon avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.