From fdcd8edd23c15e4f25d9244c95c4161dbdf240c2 Mon Sep 17 00:00:00 2001 From: spike Date: Tue, 8 Nov 2016 17:44:38 +0100 Subject: [PATCH] update --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 36922f4..9aba9c2 100644 --- a/README.md +++ b/README.md @@ -119,10 +119,10 @@ from public sources and replacing the online course videos over time. I like usi This short section were prerequisites/interesting info I wanted to learn before getting started on the daily plan. -- [ ] [What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data?](https://www.quora.com/What-is-the-difference-between-Data-Analytics-Data-Analysis-Data-Mining-Data-Science-Machine-Learning-and-Big-Data-1) -- [ ] [Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn) -- [ ] [Don’t Break The Chain](http://lifehacker.com/281626/jerry-seinfelds-productivity-secret) -- [ ] [How to learn on your own](https://metacademy.org/roadmaps/rgrosse/learn_on_your_own) +- [x] [What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data?](https://www.quora.com/What-is-the-difference-between-Data-Analytics-Data-Analysis-Data-Mining-Data-Science-Machine-Learning-and-Big-Data-1) +- [x] [Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn) +- [x] [Don’t Break The Chain](http://lifehacker.com/281626/jerry-seinfelds-productivity-secret) +- [x] [How to learn on your own](https://metacademy.org/roadmaps/rgrosse/learn_on_your_own) ## The Daily Plan @@ -131,10 +131,10 @@ Each subject does not require a whole day to be able to understand it fully, and Each day I take one subject from the list below, read it cover to cover, take note, do the exercises and write an implementation in Python or R. # Motivation -- [ ] [Dream](https://www.youtube.com/watch?v=g-jwWYX7Jlo) +- [x] [Dream](https://www.youtube.com/watch?v=g-jwWYX7Jlo) ## Machine learning overview -- [ ] [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) +- [x] [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) - [ ] [A Gentle Guide to Machine Learning](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/) - [ ] [Machine Learning basics for a newbie](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) - [ ] [How do you explain Machine Learning and Data Mining to non Computer Science people?](https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people)