Check out this link to get a better understanding of K Nearest Neighbor. It's pretty near how this can be implemented within different sources such as Netflix and Pandora #math3092 https://t.co/YvYPnqpPLe
I found this link very useful when working through how to use SVD and QR decomposition to find the parameters for our function in project 1! #math3092
https://t.co/65JploocAi
In response to my last tweet: Merriam-Webster defines the maximum likelihood as a statistical method for estimating population parameters from sample data that selects as estimates those parameter values maximizing the probability of obtaining the observed data
#math3092
After class on Tuesday, I was interested in reading a little more about the Maximum Likelihood Estimator (MLE) and I found this article very interesting! #math3092
https://t.co/vOWmwHlTH1
After learning some pros and cons of using MATLAB, I wondered how it compared to the usage of Python. Check out this link I found :) #math3092 https://t.co/5hqJRUX8DD
Helpful tip: Duplicate your data set. This will reduce the risk of corruption to the set while also giving you insurance in the instance that you delete something. #math3092
New semester means its time to make sure my files are organized. Check out this link to learn some good practices, including cleaning up your folders! #math3092 https://t.co/nid82gL9Ik
Super excited to let everyone know I am taking data mining this spring! Hope everyone is as excited as I am to about these tweets that are going to be posted for #math3092
Before being able to understand the Fast Fourier Transform, we need to understand what a discrete Fourier Transform is. I watched this video to help me to get a better outlook on what we will be doing. #math4410
https://t.co/m97vxpvc98
When thinking about our final project, I wanted to understand a little more about FFT. Here's a link I found that explains it! #Math4410
https://t.co/LXa0xys3em