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Machine Learning Intro to Everyone

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The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.

Key AI Functions:Artificial Intelligence (AI),Reinforcement Learning,Machine Learning,Deep Learning,Machine Learning Model Lifecycle

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Description for Machine Learning Intro to Everyone

Contrast and contrast deep learning, machine learning, and artificial intelligence

Describe the process of developing machine learning models.

Distinguish between supervised and unsupervised machine learning.

Utilize metrics such as precision, recall, accuracy, and confusion matrices to assess classification models.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by IBM

Duration: 3 weeks at 2 hours a week

Schedule: Flexible

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