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Machine Learning
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.
10 AI Startups That Will Disrupt the Industry in 2023
Impressed by the current crop of AI startups? Check out our list of 10 AI Startups that are disrupting the industry with innovative solutions that deserve your attention.
Artificial Intelligence in Business – Examples of Real-World AI implementation in 6 Areas
Nowadays, artificial intelligence is becoming increasingly popular. The term refers to the implementation of human intelligence in machines designed to learn and emulate human behavior. These machines will perform human-like duties as they become more adept. With technologies such as AI being develo [...]
U-Net for Image Segmentation – Architecure Implementation & Code Example
Image Segmentation is a process of partitioning images into sets of pixels (segments) that correspond to objects on the image. This means, that we're essentially classifying each pixel in the image as either belonging to a specific object or not (of course this object could be just background).
Sentiment Analysis in Python – Example with Code based on Hotel Review Dataset
Sentiment analysis is the way of identifying a sentiment of a text. In this case, sentiment is understood very broadly. It could be as simple as whether a text is positive or not, but it could also mean more nuanced emotions or attitudes of the author like anger, anxiety, or excitement. It's even po [...]
Question Answering (QA) System in Python – Introduction to NLP & a Practical Code Example
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 [...]
Logistic Regression in Python – Theory and Code Example with Explanation
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 admi [...]
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 mimi [...]
Why is Python so popular in machine learning and AI?
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.
AI vs Machine Learning vs Deep Learning – Know the Difference
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 […]