The Certified in Machine Learning (CML) certification validates the expertise of individuals who design, develop, and implement machine learning models. Holders of this certification possess a comprehensive understanding of machine learning algorithms, model evaluation techniques, and model deployment strategies. They are equipped to construct and train machine learning models, select the most suitable algorithm for a given problem, and effectively assess the performance of machine learning models.
To earn the CML certification, candidates must fulfil specific prerequisites and pass a rigorous 100-question exam. The exam encompasses supervised, unsupervised, and advanced machine learning concepts. Designed by data analysts for data analysts, the CML exam incorporates real-world data project experiences into each test question.
Demonstrate your ability to lead projects in any industry with this globally recognized certification.
Prepare for the CML certification with our comprehensive test prep resources to boost your chances of success.
ContinueAssess your eligibility for the CML certification exam.If you meet the requirements, you can schedule your exam at your convenience.
ContinueUpon confirming your eligibility and completing the exam fee payment, you will be prepared to schedule and sit for the exam.
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1. Machine learning is a powerful tool that can be used to solve a wide range of problems.
2. Earning this certification will help you demonstrate your skills and knowledge of machine learning to potential employers.
3. It can also help you command a higher salary.
To sit for the exam, you must meet the following CML requirements:
- Have a secondary degree, such as a high school diploma, GED (general educational development), or global equivalent.
- 24 hours of machine learning education/training
- Have basic knowledge of supervised, unsupervised, and advance machine learning.
- To be eligible to earn this certification, you must have a bachelor's degree in a related field, such as computer science, mathematics, or statistics.
- You must also have at least two years of experience using machine learning algorithms.
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