https://github.com/kumar-shridhar/mastersinmachinelearningonline

Online Content equivalent to Machine Learning Masters Degree at an University
https://github.com/kumar-shridhar/mastersinmachinelearningonline

ai deep-learning deep-learning-tutorial deep-neural-networks deeplearning graduate-course links machine-learning machine-learning-algorithms machinelearning masters-course masters-project masters-thesis mastersdegree neural-networks online

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Online Content equivalent to Machine Learning Masters Degree at an University

• Host: GitHub
• URL: https://github.com/kumar-shridhar/mastersinmachinelearningonline
• Owner: kumar-shridhar
• Created: 2018-09-09T14:26:47.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-09T14:44:09.000Z (over 6 years ago)
• Last Synced: 2024-11-30T07:13:05.168Z (2 months ago)
• Topics: ai, deep-learning, deep-learning-tutorial, deep-neural-networks, deeplearning, graduate-course, links, machine-learning, machine-learning-algorithms, machinelearning, masters-course, masters-project, masters-thesis, mastersdegree, neural-networks, online
• Homepage:
• Size: 4.88 KB
• Stars: 4
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MastersInMachineLearningOnline

Online Content equivalent to Machine Learning Master Degree at an University. 

I am pursuing a Masters in Machine Learning and AI at University of Kaiserslautern, Germany. However, there are alternatives to the content that I have learned over two years available online and this repository contains a curated list of those contents. Some suggestions to the projects and master thesis will also be included. The list will keep on changing depending with the new available better choices.

Following is the list of courses that I learned at the university and their alternatives:

* [Very Deep Learning](https://www.informatik.uni-kl.de/en/studium/lehrveranstaltungen/modulhb/#mod-89-7157)

  * Available alternatives online :

    * [Deep Learning Book](http://www.deeplearningbook.org)

    * [Stanford CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)

    * [Stanford CS224n: Natural Language Processing with Deep Learning](http://web.stanford.edu/class/cs224n/)

    * [Deep Learning in Neural Networks: An Overview](https://arxiv.org/abs/1404.7828)

    * A [project](http://cs231n.stanford.edu/2017/reports.html) or a [Kaggle competition](http://cs231n.stanford.edu/2017/reports.html)