Gallery Items tagged Math
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![Methods to prevent overfitting and solve ill-posed problems in statistics: Ridge Regression and LASSO](https://writelatex.s3.amazonaws.com/published_ver/4536.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=d3fb41039a33b603e243c976c86b698f849294969e17d8838abb8b6f744feda6)
Methods to prevent overfitting and solve ill-posed problems in statistics: Ridge Regression and LASSO
Linear regression is one of the most widely used statistical methods available today. It is used by data analysts and students in almost every discipline. However, for the standard ordinary least squares method, there are several strong assumptions made about data that is often not true in real world data sets. This can cause numerous problems in the least squares model. One of the most common issues is a model overfitting the data. Ridge Regression and LASSO are two methods used to create a better and more accurate model. I will discuss how overfitting arises in least squares models and the reasoning for using Ridge Regression and LASSO include analysis of real world example data and compare these methods with OLS and each other to further infer the benefits and drawbacks of each method.
Chris Van Dusen
![Geometry Final](https://writelatex.s3.amazonaws.com/published_ver/7912.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=12edc7e737708c22d673f9e1becb1776744202bee299bcce902cf4296371c7e4)
Geometry Final
This is a template for students in MATH 3000 at FSU to use for the final draft of their final exam.
Sarah Wright
![Programme de colles mathématiques - Semaine 27](https://writelatex.s3.amazonaws.com/published_ver/6104.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=3eab5f99d0f5e3a3e3135ec6929bc94bf2c5641b5f26a0a4c20452fb6f5738ee)
Programme de colles mathématiques - Semaine 27
Here is an example of the maths oral I give in some preparatory class near Paris
Duverneuil Paul
![CS310 - Assignment Template](https://writelatex.s3.amazonaws.com/published_ver/11387.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=44efd5adb57cf86a16d2f3b64cfc721fea19e82ed1ef0b507a591d0671682366)
CS310 - Assignment Template
Template for CS310-002 Discrete Computational Structures at the UofR
André dos Santos
![MTH 210 Portfolio Template](https://writelatex.s3.amazonaws.com/published_ver/935.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=ee444ed19b6cf96cb15b6ecf1709f7026a5442b6ec657c65ee207e9affb4e8a5)
MTH 210 Portfolio Template
This is a template that may be used for portfolio problems in MTH 210 at Grand Valley State University.
Ted Sundstrom
![MOOC Dropout Prediction with Model Stacking](https://writelatex.s3.amazonaws.com/published_ver/7620.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=779a63646aaab4a88f26a08664e3f3a875dc27ee6748086af01eb47ad477329e)
MOOC Dropout Prediction with Model Stacking
We are asked to predict the probability of the event that a student will drop out a course. We firstly extracted many features from the huge dataset. Then we used ensemble learning machine and model stacking technique to get the final result, which ranked the 1st in 68 teams.
Qi Zhao
![Hypothetical uniform quantizer](https://writelatex.s3.amazonaws.com/published_ver/10810.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=bfcf148aea117000c962ced41f12bdd3bb8289df2e578dd72dc461ca9146e1d0)
Hypothetical uniform quantizer
Hypothetical uniform quantizer standalone class figure.
Lucas dos Santos Costa
![量化投资](https://writelatex.s3.amazonaws.com/published_ver/3738.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=b345aa8b6d68884440adf1b8bb17e574cee62d762fd370513070c54e09685d8a)
量化投资
this article is mainly to introduce R quant!
Jack King
![Quadratic Functions](https://writelatex.s3.amazonaws.com/published_ver/3733.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T232010Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=2d2e5e09b84b15675af44d914fa3ddca941d60eb1bef252ff20d7a1ee6ff3411)
Quadratic Functions
Notes on quadratic functions for Mathematics Standard Level
(Hey Mr.Zamar)
bala rajakumar