Machine Learning and its Types
Learn the foundational concepts of machine learning by exploring its main types: supervised, unsupervised, semi-supervised, and reinforcement learning. Understand key algorithms, problem categories like regression and classification, and real-world applications such as predictive modeling, clustering, and automated decision-making systems.
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Machine Learning
Arthur Samuel was an American computer scientist and a pioneer in the field of gaming and artificial intelligence. Artificial Intelligence is the intelligence exhibited by machines, unlike Natural Intelligence. Machine Learning is one of the sub-branch of Artificial Intelligence. Arthur Samuel coined the following definition of Machine Learning:
“Field of study that gives computers the ability to learn without being explicitly programmed”
Machine Learning along with its sub-branch called Deep Learning, is used extensively in Data Science for Predictive Analytics. Once the data has been carefully wrangled and all the necessary insights have been extracted, we can have the following benefits of predictive modelling using Machine Learning.
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We can calculate the probabilities of ...