Machine Learning for Big Data

Machine Learning for Big Data  is a session that focuses on the application of machine learning techniques to large and complex datasets. Participants will learn about the principles of machine learning and how to apply them to solve real-world problems in big data analytics.The session covers a range of machine learning topics, including supervised learning, unsupervised learning, and reinforcement learning. Participants will explore different machine learning algorithms and models, such as decision trees, support vector machines, and neural networks, and learn how to select the most appropriate model for a given problem.Through hands-on exercises and case studies, participants will gain practical experience in building and evaluating machine learning models using big data. By the end of the session, participants will have the skills and knowledge needed to apply machine learning techniques to big data analytics projects effectively.

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