I wanted to become better at recognizing when data has been poorly visualized, and learn ways to improve. Here is an article I found that helped! https://t.co/wDI9W8Vqcr #math3092
Subplots are a helpful tool to use in MATLAB to display multiple plots in the same image file. These plots could show different sets of data, line of best fit models, or any other plots that would be best viewed together. Here’s a site to help! https://t.co/F9cygXnld0 #math3092
Regression lines are a great way to start modeling data, but not all sets can be accurately represented by the same regression model. Here is a link to further describe this. #math3092 https://t.co/Wi7UHa7oA2
I recently came across a blog by Jeremy Kun. He writes about math and programming! Here is one of his blogs about what can be done through linear algebra. https://t.co/XXpNRony24 #math3092
Maximum Liklihood Estimation:
I was still having trouble understand what the estimation stood for and represents. This link helped me clear it up! https://t.co/PYs9hD46RO #math3092
While completing the homework one assignment, I wanted to do more digging on calculating error. I quickly realized that there are very many types of error thanks to this source on the mathworks website. #math3092 https://t.co/rgQtFZb0R6
I was interested in finding out how this course could potentially impact my future career choices. Here is a link I got some good information from. #math3092 https://t.co/oJ1Z11Hcbk
In class, we discussed the pros and cons of using a mat file vs other types of files. Here is a site that goes deeper in discussions about using mat files #math3092 https://t.co/J48xw2gTDd
As we learned different formats to download data, I wanted to do a little more digging. I learned that excel is better to see complex sets while csv is best for uploading data to other interfaces such as MATLAB. #math3092 https://t.co/uEM4axSrNB