This certification validates experience and knowledge of essential Machine Learning and algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques. The exam certification is divided into a series of modular sections.
PREREQUISITES
Machine Learning Certified Associate
Machine Learning Certified Professional
Audience
Administrator
Analyst
Developer
Systems Administrator
Support Engineer
Technical Consultant
Technical Administrator
TOPICS
The following topics are validates:
Usage Scenarios
Datasets
Structured
Unstructured and Semi-Structured Data Models
Algorithms
Model Training and Learning
Collecting and Pre-Processing Training Data
Category Prediction
Category Discovery
Pattern Discovery
Model Evaluation Patterns
Baseline Modeling
Training Performance
Model Optimization Patterns
Ensemble Learning
Frequent Model Retraining
Incremental Model Learning
About Exam
Certification Non-proctored Exam.
Exam format is multiple-choice questions, 65 questions.
Exam duration 2 hour.
Passing score 65%.
Two chances.
A single-use voucher is for non-proctored Certification exam.