Machine Learning

Supervised machine learning, a pivotal branch within the vast domain of machine learning, represents a paradigm where machines are trained to decipher patterns and make decisions based on provided examples. This learning approach hinges on the use of labeled data – datasets where input data points (features) are paired with the correct output (target), thereby […]

In today’s fast-paced digital world, personalization has become a key factor in enhancing user experiences across various online platforms. One of the most effective ways to achieve this is through the use of recommender systems. These sophisticated algorithms have revolutionized the way we discover and engage with content, products, and services, anticipating our needs and […]

Image recognition apps are getting smarter and smarter. They allow users to identify objects, learn about them, and receive valuable suggestions based on image search. We checked what’s in stock and share our selection of the ten impressive applications that gear up your phone’s camera with image recognition IQ. Long gone are the days when […]

Data science is a complex study of an interdisciplinary nature that deals with analyzing, categorizing, and otherwise working with large volumes of raw data. For this purpose, data scientists use a wide array of different tools and methods. Data science has a holistic nature, which means it is up to the data scientist to decide […]

Machine learning is almost always connected with analyzing historical data in a way that will allow us to predict the future. However, it is easy to create a model by erroneously relying on future data. Sometimes we might catch this mistake towards the beginning of model development; other times, it will go unnoticed until the […]