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Advanced Methods in Machine Learning Applications
Master sophisticated machine learning techniques including ensemble methods, advanced regression, unsupervised learning, and reinforcement learning algorithms.
Course Cost
Free course
Intermediate
Skill Level
18 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Applied Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
What you'll learn
Implement and optimize ensemble learning methods
Apply advanced regression techniques for complex data
Master unsupervised learning algorithms
Develop reinforcement learning solutions
Perform apriori analysis and pattern mining
Skills you'll gain
This course includes:
9.5 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
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There are 5 modules in this course
This comprehensive course explores advanced machine learning techniques, focusing on ensemble methods, regression analysis, unsupervised learning, and reinforcement learning. Students learn to implement sophisticated algorithms including bagging, boosting, clustering, and Q-learning. The curriculum covers practical applications of these techniques to solve complex problems, optimize model performance, and handle advanced data analysis challenges.
Course Introduction
Module 1 · 10 Minutes to complete
Ensemble Learning
Module 2 · 4 Hours to complete
Regression
Module 3 · 4 Hours to complete
Unsupervised Learning
Module 4 · 3 Hours to complete
Reinforcement Learning and Apriori Analysis
Module 5 · 7 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.