Introduction to Applied ML
It provides professionals with the necessary skills to define machine learning problems, prepare data, and identify applications across a variety of domains.
Description for Introduction to Applied ML
Features of the Course:
Comprehensive Problem Definition Acquire knowledge of two structured methods for effectively defining machine learning problems, thereby guaranteeing the clarity of project objectives.
Surveying Data Resources: Develop the ability to evaluate the available data resources and identify opportunities for machine learning applications in a variety of domains.
Business-Driven Machine Learning Applications: Comprehend the process of converting business requirements into machine learning projects that resolve particular obstacles.
Data Preparation for ML: Enhance your capacity to prepare data for machine learning applications, thereby facilitating improved performance and results.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Alberta Machine Intelligence Institute
Duration: 6 hours at your own pace
Schedule: Flexible
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