Ai & Machine Learning

Machine Learning Models

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Coursera

Learn the ability to employ machine learning techniques to resolve classification, regression, forecasting, and clustering issues in business settings.

Key AI Functions:machine learning, design of experiments, regression, classification, clustering, ai_machine_learning, ai & machine learning

Description for Machine Learning Models

  • Introduction to the Concepts of Machine Learning: Familiarize yourself with the fundamental principles of machine learning, such as the algorithms employed for clustering, forecasting, regression, and classification.

  • Designing Experiments to Test Model Hypotheses: Comprehend the design of experiments methodology for the purpose of testing hypotheses and validating models.

  • Model Training, Tuning, and Evaluation: Acquire practical experience in the training, fine-tuning, and evaluation of models to enhance the accuracy of predictions.

  • Real-World Applications of Machine Learning: Utilize machine learning algorithms to resolve genuine business challenges in domains such as forecasting and classification.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by CertNexus

Duration: 3 weeks at 9 hours a week

Schedule: Flexible

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