0 comments on “Stock Price Prediction Using Hidden Markov Model”

Stock Price Prediction Using Hidden Markov Model

Learn to predict stock prices using HMM in this article by Ankur Ankan, an open source enthusiast, and Abinash Panda, a data scientist who has worked at multiple start-ups. A Hidden Markov Model (HMM) is a specific case of the state space…

0 comments on “Implementing Restricted Boltzmann Machine with Python and TensorFlow”

Implementing Restricted Boltzmann Machine with Python and TensorFlow

In one of the previous articles, we started learning about Restricted Boltzmann Machine. It was quite a journey since we first had to figure out what energy-based models are, and then to find out how a standard Boltzmann Machine functions.…

2 comments on “Implementing Restricted Boltzmann Machine with .NET Core”

Implementing Restricted Boltzmann Machine with .NET Core

The code that accompanies this article can be downloaded here. In the previous article, we had a chance to see what is the Restricted Boltzmann Machine and how it functions and learns. The path was bumpy because first, we needed to…

2 comments on “Introduction to Restricted Boltzmann Machines”

Introduction to Restricted Boltzmann Machines

So far in our artificial neural network journey, we have explored typical statistical models. In general, the entire point of statistical modeling and machine learning is to detect dependencies and connections between input variables. Standard Neural networks are exceptional at…

0 comments on “Credit Card Fraud Detection Using Self-Organizing Maps and Python”

Credit Card Fraud Detection Using Self-Organizing Maps and Python

In the previous three articles, we explored the world of Self-Organizing Maps. First, we got some theoretical background on the subject. Then in the second article, we saw how we could implement Self-Organizing Maps using TensorFlow. After that, in the…

2 comments on “Implementing Self-Organizing Maps with .NET Core”

Implementing Self-Organizing Maps with .NET Core

The code that accompanies this article can be downloaded here. In the previous articles, we explored what  Self-Organizing Maps are and how you can implement them using Python and TensorFlow. One of the most interesting things about these networks is that…

2 comments on “Implementing Self-Organizing Maps with Python and TensorFlow”

Implementing Self-Organizing Maps with Python and TensorFlow

In the previous article, we got familiar with the main concepts of Self-Organizing Maps. We explored how they utilize different type of learning than we got a chance to see during our trip through the world of artificial neural networks…