Machine Learning
Engineering and Technology
Short Description
In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
Long Description
Machine Learning is a comprehensive course on Udacity that covers a wide range of topics. Starting with supervised learning, students will learn about decision trees, regression, classification, neural networks, and instance-based learning. The course also delves into ensemble methods, kernel methods, and support vector machines. Students will explore computational learning theory, VC dimensions, Bayesian learning, and Bayesian inference. Moving on to unsupervised learning, the course covers randomized optimization, clustering, feature selection, and feature transformation. Additionally, students will gain knowledge in information theory, reinforcement learning, Markov decision processes, and game theory. With a focus on practical applications and hands-on projects, this course provides a comprehensive understanding of machine learning concepts and techniques.
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Course Details
- Duration
- 16 weeks
- Difficulty
- Intermediate
- Format
- Short Course
- Price
- Free
- Course Link More Information