Machine Learning, one of the enablers of Artificial Intelligence, provides systems with the ability to learn without being explicitly programmed. Machine-learning algorithms detect patterns and learn how to make predictions and prescriptions by harnessing historical data and their associated outcomes. The algorithms are also capable of adapting to new data and will improve their performance over time.
With a dedicated centre of excellence for Artificial Intelligence, mature and predictable processes and extensive experience in delivering business results through machine learning, we are well-positioned to help you to realise the full benefits of machine learning in the shortest possible time.
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Supervised learning is when an algorithm uses training data to learn the relationship of given inputs to a given output and calculates/predicts behaviour on the new data.
Unsupervised learning is when an algorithm finds patterns and classifies the data without being given an explicit output variable.
Reinforced learning is when an algorithm learns to perform a task simply by trying to maximise rewards it receives for its actions.
• Fraud Detection
• Market Segmentation
• Customer Segmentation
• Pattern or Face Recognition
• Image Classification
• Marketing Forecasting
• Popularity Predictions