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…

## Machine Learning to Catch Up with Human Intelligence – The Outcome

With our dependence on technology only becoming stronger and with some recent privacy-destroyed scandals making people worry, robots became the talk of the town once again. Almost every film, TV show, and video game tries to raise a question about…

## 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…

## Self- Organizing Maps Series

So far in our artificial neural network series, we have covered only neural networks that are using supervised learning. To be more precise, we only explored neural networks that have input and output data available to them during the learning process. Based…

## 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…

## Introduction to Self-Organizing Maps

So far in our artificial neural network series, we have covered only neural networks that are using supervised learning. To be more precise, we only explored neural networks that have input and output data available to them during the learning…

## Machine Learning with ML.NET – Comparing Data Exploration in Python with Data Exploration in ML.NET

In the previous articles, we explored possibilities of ML.NET, Microsoft's machine learning framework, quite a bit. In the first article of the series, we got familiar with machine learning concepts and run through some ML.NET basics. Then we solved some…

## Using ML.NET – Introduction to Machine Learning and ML.NET

Code that accompanies this article can be downloaded here. Last month, at their Build event, Microsoft shared with us plans for .NET Core 3. Wile the accent was the transformation of desktop applications and support for Windows Forms and WPF,…

## Two Ways to Implement LSTM Network using Python – with TensorFlow and Keras

In the previous article, we talked about the way that powerful type of Recurrent Neural Networks - Long Short-Term Memory (LSTM) Networks function. Now, we will see how to implement this kind of networks.

## Understanding Long Short-Term Memory Networks (LSTMs)

Remember how in the previous article we've said that we can predict text and make speech recognition work so well with Recurrent Neural Networks? The truth is that all the big accomplishments that we assigned to RNNs in the previous article are…