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Saturday April 1
In this course, students are introduced to Machine Learning (ML), which is the study and application of algorithms that learn from and make predictions on data. This course focuses on supervised, unsupervised and reinforcement learning algorithms that capture data and unwraps useful patterns to address real world problems with high accuracy. This course also provides an introduction to Neural Networks and Deep Learning models.