Ridge Regression Linear Models: Topics of Machine Learning

Introduction to Ridge Regresison This present article moves away from traditional linear and polynomial regression to a more nuanced form of regression known as ridge regression. Previously, we spent a great deal of time reviewing traditional machine learning models and investigated the performance measures associated with these algorithms. We then took great lengths in examiningContinue reading “Ridge Regression Linear Models: Topics of Machine Learning”

Regression From the Mathematical Perspective: Topics of Data Modeling

Prologue Before we begin, take a second. Open this link in a new tab. Did you do it? I’ll wait. Oh, you opened it? Great. Sorry for the forwardness, but this book is one of the greatest tools I have used in taking myself from a beginner in programming to a full time data scientist.Continue reading “Regression From the Mathematical Perspective: Topics of Data Modeling”

Polynomial Regression Algorithms: Topics of Machine Learning

Introduction to Polynomial Regression The present article seeks to elucidate the myriad of features associated with polynomial regression with respect to its role in machine learning. We previously brought to light a variety of features associated with linear regression in machine learning models. We first provided an introduction to linear regression in this article. FollowingContinue reading “Polynomial Regression Algorithms: Topics of Machine Learning”

Linear Regression and Academic Literature: 100 Days of Code (3/100)

Day 3 Of 100 Days of Code Our third day of this 100 Days of Code was filled with in depth analysis of linear regression and elaboration on gradient descent algorithms. What should first be noted is the fact that we successfully published two deeply interwoven articles. The first analyzed in depth linear regression algorithms,Continue reading “Linear Regression and Academic Literature: 100 Days of Code (3/100)”

Gradient Descent Model Machine Learning: Topics of Machine Learning

Introduction to Gradient Descent Our previous article investigated the importance of linear regression in machine learning modeling, but here we focus on implementing this technique. In particular, we investigate linear regression as it relates to gradient descent machine learning. Before embarking on this discussion, we would like to provide a brief overview on the analysesContinue reading “Gradient Descent Model Machine Learning: Topics of Machine Learning”

Linear Regression Models: Topics of Machine Learning

An Introduction to Linear Regression The present article endeavors to explore the intricacies of linear regression models in machine learning. Before embarking on this discussion, we would like to provide a brief overview on the analyses explored in the Topics of Machine Learning series. Much of our investigative efforts have centered on one of twoContinue reading “Linear Regression Models: Topics of Machine Learning”

Supervised Machine Learning Algorithms: Topics of Machine Learning

Introduction to Supervised Machine Learning We now reach a point where we intend to get deeper into the various methodologies of machine learning. Our first article of this series presented all of the general categories of machine learning and their implications. Therein, we documented the various mechanisms and algorithms associated with these categories. They includedContinue reading “Supervised Machine Learning Algorithms: Topics of Machine Learning”