21 Mar 2018
Multi Variable Regression In chapter 2.1 we learned the basics of TensorFlow by creating a single variable linear regression model. In this chapter we expand this model to handle multiple variables. Note that less time will be spent explaining the basics of TensorFlow: only new concepts will be explained, so...

27 Dec 2017
Exploring Optimization Convergence In the previous chapter we created a simple single variable linear regression model to fit a data set. While the Python code was actually fairly short and simple, I did gloss over some details related to the optimization, and I hope to use this short chapter to...

03 Dec 2017
Single Variable Regression Since this is the very first tutorial in this guide and no knowledge is assumed about machine learning or TensorFlow, this tutorial is a bit on the long side. This tutorial will give you an overview of how to do machine learning work in general, a mathematical...

01 Jan 2017
Easily the best way to improve at machine learning is to just get practice at it. Practice helps you improve at machine learning in two ways: 1. You get familiar with implementing common algorithms. Whether you use machine learning libraries or roll your own, becoming comfortable with these algorithms is...