Code Monkey home page Code Monkey logo

machinelearning-ng's Introduction

MachineLearning-Ng

coursera上学习Ng的机器学习课程的编程作业

本课程一共有11周的课程,其中8周有编程作业。每周的学习内容如下:

machine-learning-ex1: linear regression

machine-learning-ex2: logistic regression

machine-learning-ex3: multi-class classification and neural networks

machine-learning-ex4: neural networks learning and backpropagation

machine-learning-ex5: regularized linear regression and bias v.s. variance

machine-learning-ex6: SVM

machine-learning-ex7: K-means and PCA

machine-learning-ex8: anomaly detection and recommender systems

下面是结课证书:

machinelearning-ng's People

Contributors

lily520 avatar

Watchers

 avatar

Forkers

skandgjxa

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.