Description
Machine learning curriculum covers a wide range of topics and skills necessary to understand and apply machine learning algorithms and techniques. Students learn about linear algebra, calculus, probability theory, and gain proficiency in a programming language commonly used in machine learning, such as Python. Students study various algorithms and techniques, such as linear regression, logistic regression, decision trees, random forests, support vector machines, and clustering methods. Students are encouraged to stay updated with the latest research and advancements in the field, and to actively participate in machine learning projects to enhance their skills.
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Course Content
