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# Data Science Blog

Machine learning & data science for beginners and experts alike.
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## It's a No Brainer: An Introduction to Neural Networks

Community Content Engineer

Neural Networks are an approach to artificial intelligence that was first proposed in 1944.  Modeled loosely on the human brain, Neural Networks consist of a multitude of simple processing nodes (called neurons) that are highly interconnected and send data through these network connections to estimate a target variable. In this article, I will discuss the structure and training of simple neural networks (specifically Multilayer Perceptrons, aka "vanilla neural networks"), as well as demonstrate an example neural network created by the Alteryx Neural Network Tool.

## A Lyft Driver Uses Linear Regression to Predict Their Next Fare Amount

Alteryx

Building my first linear regression model turned me into an instant celebrity. My roommate, who has acted as a sounding board for my predictive-analytics-learning progress, now believes I can use Linear Regression to predict the winner of the next horse race. While it would be fun to try, a more applicable use case is predicting how much a customer will spend (which, in the case of horse racing could translate to how much someone might spend on a bet). For my use case, I want to predict how much a Lyft driver can expect to receive on their next fare.

## An Alteryx Newbie works through the predictive suite: Decision Tree

Alteryx

New to Alteryx and ready to help improve the documentation, I'm clambering up another predictive suite tool: the decision tree.

## Why use SVM?

Alteryx Alumni (Retired)

What is support vector machine and why should you use it?

## Random Forests in Python

Alteryx Alumni (Retired)

An introduction to working with random forests using Python

## What is Linear Regression? A Qualitative Exploration

Alteryx Alumni (Retired)

A high level introduction to what linear regression is and how it works.