Machine Learning Certified Associate
This certification validates experience and knowledge in high-level overview of essential Machine Learning, what it can and cannot do, how it is commonly utilized in support of business goals, algorithm types and systems work. The exam certification is divided into a series of modular sections.
This certification has no prerequisites
The following topics are validates:
Business and Technology Drivers
Benefits and Challenges
Unstructured and Semi-Structured Data Models
Model Training and Learning
Collecting and Pre-Processing Training Data
Algorithm and Model Selection
Deploy Trained Models
Decision Tree Regression
Machine Learning Mechanisms
Mechanisms Used in Model Training
Certification Non-proctored Exam.
Exam format is multiple-choice questions, 42 questions.
Exam duration 1 hour.
Passing score 67%.
A single-use voucher is for non-proctored Certification exam.