ML Algorithms is the fourth course in the AWS Certified Machine Learning Specialty specialization. This course is designed to provide a deep dive into various machine learning algorithms, offering a comprehensive understanding of their concepts and real-world applications.
Divided into two modules, ML Algorithms offers approximately 2:00-2:30 hours of video lectures, encompassing both theoretical and hands-on knowledge. Graded and ungraded quizzes are provided to assess the learners' understanding after each module.
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This course comprises two modules, providing in-depth knowledge of machine learning algorithms, including regression, classification, reinforcement learning, and forecasting.
Module 1: ML Algorithms- Part 1
This module provides an introduction to training and evaluating the model. It covers algorithm concepts, regression algorithms, clustering algorithms, and classification algorithms, with hands-on labs. The module concludes with various assessments and knowledge tests to evaluate the learners' understanding.
Module 2: ML Algorithms- Part 2
Delve into image analysis algorithms, text analysis algorithms, reinforcement learning algorithms, and forecasting algorithms in this module. It also includes exam tips, key takeaways, and comprehensive assessments to ensure a thorough understanding of the course content.
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