The EXIN BCS Machine Learning Award gives you a clear, structured introduction to machine learning—covering key algorithms, data processing, model training, and real-world applications. You'll learn how to prepare and transform data, understand supervised and unsupervised learning, and get hands-on insights into programming languages and ML frameworks such as Python, TensorFlow, and Scikit-Learn—even if you're new to AI. Updated 14/05/2026 Introduction to Machine Learning Definition and Overview Applications of Machine LearningRole of Learning AgentsConcept of Deep LearningPurpose and Function of Neural NetworksIntegration with Knowledge-Based SystemsData Interaction in Machine LearningProgramming in Machine LearningProgramming Languages for Machine Learning Software Tools: Open Source vs. Proprietary Machine Learning AlgorithmsMathematical FoundationsCommon Algorithms in Machine Learning Types of Learning: Supervised, Unsupervised, and Semi-Supervised Practical Applications of Machine Learning Problem Identification for Machine Learning SolutionsData Preparation and Processing Training Machine Learning Models Testing and
