Classification / Neural Networks and Deep Learning

Perceptron: What It Is, How It Learns, and the Multilayer Perceptron

28 October 2026

Perceptron: What It Is, How It Learns, and the Multilayer Perceptron

A perceptron is the simplest neural network: a single artificial neuron that takes several inputs, multiplies each by a weight, adds them up with a bias and outputs 1 or…

Supervised vs Unsupervised vs Reinforcement Learning: Differences and Examples

27 October 2026

Supervised vs Unsupervised vs Reinforcement Learning: Differences and Examples

Machine learning algorithms are usually grouped by how they learn, and in particular by what kind of feedback they get during training. In supervised learning the model learns from examples…

Decision Trees in Machine Learning: How They Work, With Python Examples

24 October 2026

Decision Trees in Machine Learning: How They Work, With Python Examples

A decision tree is a machine learning model that makes predictions by asking a sequence of yes/no questions about the input, such as “Is the departure time before 8:15?” or…

Gradient Boosting Explained: Algorithm, Python Code, XGBoost vs LightGBM

24 October 2026

Gradient Boosting Explained: Algorithm, Python Code, XGBoost vs LightGBM

Gradient boosting is a machine learning technique that builds a strong model from many weak ones, usually small decision trees, by adding them one at a time. Each new tree…

Bayes’ Theorem Explained: Formula, Examples and Python Code

23 October 2026

Bayes’ Theorem Explained: Formula, Examples and Python Code

Bayes’ theorem tells you how to update a probability when new evidence arrives: the probability of a hypothesis given the evidence equals the probability of the evidence given the hypothesis,…

EXAM – State-of-The-Art Method for Text Classification

24 December 2018

EXAM – State-of-The-Art Method for Text Classification

One of the widely used Natural Language Processing & Supervised Machine Learning (ML) task in different problems and used cases is the so-called Text Classification. It is an example of…

Deep Clustering Approach for Image Classification Task

20 September 2018

Deep Clustering Approach for Image Classification Task

The clustering of images seems to be a well-researched topic. But in fact, little work has been done to adapt it to the end-to-end training of visual features on large-scale…