Machine Learning Certified Professional
This certification validates experience and knowledge in 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
Audience
Administrator
Analyst
Developer
Systems Administrator
Support Engineer
Technical Consultant
Technical Administrator
TOPICS
The following topics are validates:
Data Exploration Patterns
Central Tendency Computation
Variability Computation
Data Reduction Patterns
Data Wrangling Patterns
Feature Imputation
Feature Encoding
Supervised Learning Patterns
Numerical Prediction
Category Prediction
Category Discovery
Pattern Discovery
Supervised Learning
Classification
Decision Tree Regression
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, 42 questions.
Exam duration 1 hour.
Passing score 67%.
Two chances.
A single-use voucher is for non-proctored Certification exam.