ML Algorithms
Master AWS machine learning algorithms from basics to advanced concepts, covering regression, classification, and reinforcement learning.
Master AWS machine learning algorithms from basics to advanced concepts, covering regression, classification, and reinforcement learning.
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 Exam Prep MLS-C01: AWS Certified Specialty 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.
Instructors:
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What you'll learn
Determine and implement various algorithm concepts in machine learning
Design and apply regression and classification algorithms
Implement clustering algorithms for data analysis
Master image and text analysis techniques
Examine reinforcement learning methodologies
Develop forecasting algorithms for predictive modeling
Skills you'll gain
This course includes:
2.23 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 2 modules in this course
This comprehensive course delves into machine learning algorithms, focusing on both theoretical understanding and practical implementation. The curriculum covers fundamental concepts and advanced applications, including regression, classification, clustering, image analysis, text analysis, reinforcement learning, and forecasting algorithms. Through hands-on labs and demonstrations, students learn to implement various ML algorithms while preparing for the AWS Machine Learning Specialty certification.
ML Algorithms- Part 1
Module 1 · 2 Hours to complete
ML Algorithms- Part 2
Module 2 · 2 Hours to complete
Fee Structure
Instructor
Empowering Future Innovators Through Hands-On STEM Learning
Whizz Education partners with educational stakeholders to implement changes to education and accelerate learning, using the "Maths-Whizz" platform1. The organization designs large-scale implementations that are adaptable to different environments and aligned with national curricula
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Frequently asked questions
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