Applied ML An Introduction
It provides professionals with the necessary skills to define machine learning problems, prepare data, and identify applications across a variety of domains.
Description for Applied ML An Introduction
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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