Machine Learning
Enables systems to learn from data
​Cognitive Ki employs Machine Learning, a branch of artificial intelligence that develops systems capable of learning and improving from data
Cognitive Ki's Machine Learning implementations are categorized into Supervised, Unsupervised, and Reinforcement Learning, based on the data they use. This area of artificial intelligence aims to train computers to learn from data, observations, and environmental interactions.
Supervised learning is a type of machine learning in which Cognitive Ki algorithms are trained on labeled data (input-output pairs). This helps the model recognize patterns and make accurate predictions or decisions on new data, much like learning with a teacher. It is frequently used for tasks such as classification (spam detection) and regression (price prediction).
Unsupervised learning
Unsupervised learning employs AI algorithms to identify hidden patterns and relationships within unlabeled data without human intervention. Cognitive Ki assists in analyzing extensive datasets, segmenting customers, identifying anomalies such as fraud, providing recommendations, and simplifying data complexity. It is especially useful for customer segmentation, market analysis, and anomaly detection, enabling the discovery of insights and grouping of similar behaviors.
​Reinforcement Learning is a form of machine learning where an "agent" learns decision-making by interacting with an environment, taking actions, and receiving feedback as rewards or penalties. Its aim is to maximize cumulative rewards through trial and error, much like human learning. This method enables Cognitive Ki to manage complex, sequential tasks in fields such as gaming, robotics, and autonomous systems.
Cognitive Ki Deep Learning
Deep Learning
Deep learning is a sophisticated subset of machine learning that utilizes multi-layered neural networks to identify patterns in data.
Cognitive Ki Natural Language
Natural Language
Natural Language Processing is a field of artificial intelligence that allows computers to understand, interpret, and generate human language. It is utilized in many technologies, including chatbots and real-time translation systems.
Cognitive Ki Swarm intelligence
Swarm Intelligence
Swarm intelligence is an AI approach inspired by decentralized natural systems such as ant colonies and bird flocks. It shows how simple agents following local rules without a leader can produce complex, adaptable, and intelligent behavior.