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Applied ML An Introduction

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

Key AI Functions:project management,machine learning (ml) algorithms,machine learning,applied machine learning,classification algorithms,ai & machine learning

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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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