Machine Learning has changed our world a lot in many ways, we have different methods to learn the training data for classification and regression problems, such as linear regression, logistic regression, support vector machine, polynomial regression, and many other techniques, Some parametric methods like polynomial regression and support vector machines stand out as being versatile. more...
The main objective of this article is the development of a full-fledged trading robot based on a neural network and using MetaTrader 5 without third-party software. more...
We continue to study unsupervised learning methods. In previous articles, we have already analyzed clustering, data compression, and association rule mining algorithms. But the previously considered unsupervised algorithms do not use neural networks. In this article, we get back to studying neural networks. This time we will take a look at Autoencoders. more... --------------------- Neural networks made easyNeural networks made easy (Part 2): Network training and testing ...
Claude Shannon in 1948 introduced his paper “A mathematical theory of communication” that had the novel ideal of information entropy. Entropy is a concept from physics. It is a measure of the extent to which particles within an object are active. If we consider the 3 states of water namely ice, liquid and vapor for example; we can see that the particle kinetic energy is highest in vapor and least in ice. This same concept is applied in mathematics ...
Special data types — matrices and vectors — have been added to the MQL5 language to solve a large class of mathematical problems. The new types offer built-in methods for creating concise and understandable code that is close to mathematical notation. In this article, we provide a brief description of built-in methods from the Matrix and vector methods help section. more...
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