Machine Learning

Machine learning Models vs Algorithms

Machine learning is very prevalent these days. But you may not understand all of the lingo. In this article, we will discuss what the difference is between a machine learning model and a machine learning algorithm. We will also discuss when to use what models, and a few, types of machine learning algorithms. Models Machine learning models are at their core, very complicated statistical formulas. You give the model a set of inputs, these inputs are run through your formulas, and then you get an Read more […]

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Building a classifier using Python and Scikit Learn

Scikit Learn is an easy to use Machine Learning library for Python. In this article, we will discuss how to create a basic classifier applicaiton where you can feed it data, and it will properly classify it for you. In this case we will use data on cars and classify them as Sedans, Pickup Trucks, or Mini Vans. Prerequisites Before we begin, you should be sure that you have pip and python installed. If you do not, check out the article on python basics. The article on Python basics starts off Read more […]

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Getting OSX ready for Tensorflow

This article will describe the process of getting Tensorflow working on OSX.  By the end of the article, you will have all the prerequisites installed to allow you to run Tensorflow-based python applications on your MacOS/OSX computer. Install Homebrew Homebrew is a package manager for OSX.  It is similar to apt-get on Ubuntu or yum on Redhat linux.  Homebrew requires xcode to be installed. If you do not already have xcode to be installed, the install command below will install it for you. Read more […]