ML Algorithms
- Offered byCoursera
ML Algorithms at Coursera Overview
Duration | 4 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
ML Algorithms at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 5 in the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
- Beginner Level Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
- Approx. 4 hours to complete
- English Subtitles: English
ML Algorithms at Coursera Course details
- ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
- Module 1: ML Algorithms- Part 1
- Module 2: ML Algorithms- Part 2
- Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud. By the end of this course, learners will be able to :
- - Determine algorithm concepts in ML
- - Design Regression algorithms and Classification based algorithms
- - Examine Reinforcement learning algorithms and Forecasting algorithms
ML Algorithms at Coursera Curriculum
ML Algorithms- Part 1
Introduction to Training and Evaluating the Model
Algorithm concepts
Regression algorithms-Part 1
Regression algorithms-Part 2
Regression algorithms - lab part 1
Regression algorithms - lab part 2
Clustering algorithms
Clustering algorithms - lab
Classification algorithms-Part 1
Classification algorithms-Part 2
Classification algorithms - continued
Classification algorithms - lab
Course Outline
Welcome to the Course
ML Algorithms- Part 1 Overview
ML Algorithms- Part 1 Knowledge Test
Week 1 Assessment
ML Algorithms- Part 2
Image analysis algorithms
Text analysis algorithms- Part 1
Text analysis algorithms- Part 2
Text analysis algorithms - lab
Reinforcement learning algorithms
Forecasting algorithms
Exam tips
ML Algorithms- Part 2 Overview
Key Takeaways of Course
Course Conclusion
ML Algorithms- Part 2 Knowledge Test
Week 2 Assessment
Overall Course Assessment Quiz
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