Giter VIP home page Giter VIP logo

teaching-material's Introduction

Tutorials for Machine Learning Courses at Stanford and Cornell

Preparatory material for machine learning courses at Stanford at Cornell. Covers Python and Numpy. This has been used for:

  • The probabilistic graphical models and the deep learning courses at Stanford.
  • The applied machine learning course and deep generative models courses at Cornell.

Material

This repo currently holds:

  • A tutorial on basic Python/Numpy that is necesseary to get started with the above machine learning classes.

You may follow the iPython notebook on github, or clone and execute it locally. The notebook is based on an earlier version prepared by Justin Johnson.

teaching-material's People

Contributors

alexandresee avatar constannnnnt avatar geekypandey avatar huangzonghao avatar kuleshov avatar mhmorta avatar pablopda avatar shachidesh avatar zhaobaiyu avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

teaching-material's Issues

Error when uploading into Jupyternook

When I upload this file onto the Jupyter notebook, it says that: " The error was: SyntaxError: JSON.parse: unexpected character at line 7 column 1 of the JSON data."

array transpose example

First off, this is a great tutorial on Python and Numpy!

One issue I saw in the Array math section when demonstrating transposing it shows:

v = np.array([1,2,3])
print v 
print v.T

which results in:

[1 2  3]
[1 2  3]

Shouldn't it be:

v = np.array([[1,2,3]])
print v 
print v.T

which results in:

[[1 2 3]]
[[1]
 [2]
 [3]]

suspect on result in code block 237

Hello, the python tutorial is helpful to me. However, I have a question. Is it wrong in result of code block 237? I think the result of print v.T should be

   [[1],
    [2],
    [3]]

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.