Machine learning is a technology that is used in many applications to implement functionalities never before available. On our blog we describe trends in machine learning, explain the theory and show the practical use of this technology.
Historically, one of the first implementations of the QA system was the program BASEBALL (1961), created at Stanford University. It was able to answer questions about baseball league scores, statistics etc., using a rule-based language model for “decoding”, generation of natural text and access to a baseball relational database for […]
What is Logistic Regression? Logistic Regression is a Machine Learning algorithm used to make predictions to find the value of a dependent variable such as the condition of a tumor (malignant or benign), classification of email (spam or not spam), or admission into a university (admitted or not admitted) by […]
Image Recognition in Python based on Machine Learning – Example & Explanation for Image Classification Model
The brain consists of neurons and weights connecting between them. Machine learning Algorithms follow the same design of brain structure as it has neurons in the so-called layer and weights connecting between them that are updated according to a specific loss function. Different neural networks mimic different brain functionalities.
Could you imagine a world with self-driving cars or phones that can tell you out loud what the weather will be like tomorrow? Where software applications learn by themselves without being programmed by a human? Oh, wait, this is already happening – all thanks to machine learning.
And what actually is AI or machine learning, or deep learning? In this article, I want to zoom in on the subject, and for a moment, I would like to play fortune teller and look into the future of these technologies. What is artificial intelligence, and how it works? Machine […]