Certified Machine Learning Professional (CMLP)
In today’s rapidly evolving technological landscape, machine learning has emerged as a key field that holds immense potential for businesses and industries across the globe. The Certified Machine Learning Professional (CMLP) program is designed to provide individuals with the knowledge and skills needed to leverage machine learning algorithms to extract insights and value from data.
Certification Program Objectives:
- Understanding the principles and concepts of machine learning, including supervised and unsupervised learning, feature engineering, and model evaluation.
- Developing skills in data pre-processing, including cleaning, transforming, and encoding data.
- Understanding how to select and apply machine learning algorithms to different types of data.
- Learning how to evaluate the performance of machine learning models and improve their accuracy.
- Gaining expertise in building complex machine learning systems, including algorithm chains and pipelines.
- To be certified as CBDP, student should take up a 1.5 hours exam at the designated examination centers.
- The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
- Professionals with relevant experience and other qualifying criteria may be exempted from the examination.
- Introduction to Machine Learning
- Supervised and Unsupervised Learning
- Data Representation and Feature Engineering
- Model Evaluation, Improvement, and Algorithm Pipelines