Amirhosein Rashidian

Dec 11, 2020

Linear Algebra in Data Science

Introduction Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence systems to perform tasks that ordinarily…

Linear Algebra

6 min read

Linear Algebra

6 min read

Dec 11, 2020

Locally weighted Regression in Machine Learning

first of all, we need to overview these two topics: Parametric and non-parametric learning algorithm 1-Parametric Learning Algorithm: An algorithm that has a fixed number of parameters that fit the data. Linear regression is an example of parametric learning.

Machine Learning

5 min read

Machine Learning

5 min read

Oct 17, 2020

Machine Learning Introduction

Machine Learning Introduction Introduction First of all, In general, I would have to mention that Machine learning had grown out of early work in AI(Artificial Intelligence) And over the last 20 years it’s been viewed as a sort of growing a new capability for computers, but in particular, it’s clear that there are many…

Machine Learning

4 min read

Machine Learning

4 min read