Support Vector Machines
Support Vector Machines Support Vector Machines (SVMs) are a powerful type of supervised machine learning algorithm used particularly for classification tasks. For example, they are
Recurrent Neural Networks
What Are Recurrent Neural Networks? Recurrent Neural Networks (RNNs) are a class of artificial neural networks specifically designed to recognize patterns in data sequences. Unlike
Image Recognition
What is Image Recognition? Image recognition is a technology that emerged to empower machines to interpret and analyze images as humans do. It serves as
Feature Engineering
Understanding Feature Engineering Feature engineering is the practice of creating and selecting informative features from raw data to boost machine learning model performance. It is
Supervised Learning
The Basics of Supervised Learning Supervised learning is another category of machine learning. It occurs when a machine can learn from experience, accept new data,
Decision Trees
Decision Trees Decision Trees (DTs) are one of the simplest algorithms used to provide us with an effective way of traversing this decision landscape. They
Computer Vision
Computer Vision Computer vision (CV) is one of the fastest-growing fields of artificial intelligence (AI) that allows computers or systems to acquire helpful information from
Unsupervised Learning
What is Unsupervised Learning? Unsupervised learning is a technique that uses machine learning algorithms to analyze and group unlabeled datasets. Artificial intelligence and data science
Hyperparameter Tuning
What is Hyperparameter Tuning? Hyperparameter tuning refers to selecting optimal values for machine learning models’ hyperparameters. Hyperparameters determine how models learn, such as learning rate,
Ensemble Learning
Understanding Ensemble Learning Ensemble learning is a general approach to machine learning that aims to improve predictive performance by combining the predictions of multiple models.
