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Ryan McBride

Machine Learning: Reinforcement Learning

Machine Learning: Reinforcement Learning

Unleashing the Power of Reinforcement Learning: Training Machines to Learn from Experience Have you ever wondered how a machine could learn to fly a helicopter or play a complex video game? The answer lies in a fascinating field of artificial intelligence called reinforcement learning. What is Reinforcement Learning? Think of

Machine Learning: Recommendation Systems

Machine Learning: Recommendation Systems

The answer lies in a powerful tool called Recommended Systems. These systems are the unsung heroes behind many of our favorite online experiences, quietly influencing our choices and shaping our digital lives. In essence, recommended systems are algorithms that analyze user behavior and preferences to predict what they might like.

Machine Learning: Unsupervised Learning

Machine Learning: Unsupervised Learning

Unsupervised learning is a type of machine learning where algorithms are trained on data that doesn't have labels or predefined categories. Unlike supervised learning, the algorithm is left to find hidden patterns and structures within the data on its own. Key Features: * Unlabeled Data: The data used for