Bayesian multiple regression by Stan

Overview

On the article, Simple Bayesian modeling by Stan, I made a simple linear regression by Stan and PyStan. So, as an extension of it, I made multiple regression model on the same manner to show how to do Bayesian modeling roughly.

Simple tutorial to write deep neural network by TensorFlow

Overview

On this article, I’ll show simple deep neural network(DNN) model for regression by TensorFlow.

TensorFlow is open source library from Google. From the official web site,

TensorFlow™ is an open source software library for numerical computation using data flow graphs.

From wikipedia,

TensorFlow is an open-source software library for machine learning across a range of tasks. It is a system for building and training neural networks to detect and decipher patterns and correlations, analogous to (but not the same as) human learning and reasoning.[3] It is used for both research and production at Google,‍[3]:min 0:15/2:17 [4]:p.2 [3]:0:26/2:17 often replacing its closed-source predecessor, DistBelief.

It lets us make neural network relatively easily. But different from keras, this needs proper knowledge of the things you want to make.
This article is almost simple tutorial to make deep neural network model for regression.

You can know the followings on this article.

• What is deep neural network?
• How do we write deep neural network model by TensorFlow

Simple regression model by TensorFlow

Overview

Neural network is composed of input, hidden and output layers. And the number of hidden layers is optional. So the simplest network architecture has just one hidden layer.

On this article, I’ll make the simplest neural network for regression by TensorFlow.

From the official web site,

TensorFlow™ is an open source software library for numerical computation using data flow graphs.

This makes it easier to make shallow and deep neural network and other machine leaning algorithms. Through the simple trial, we can learn about TensorFlow and the system of neural network.

About the Tensorflow itself, please check the article below.

• Simple guide for Tensorflow

Making linear regression model by R

Overview

When we make model by data science, machine learning method, it’s not simple process such as “just throw data into SVM”. Getting, checking, processing, modeling, evaluation. There are many steps you need to care about.

On this article, by making regression model on R, I’ll show the example of part of the process.