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Machine Learning Introduction for Everyone

Instructors: Aije Egwaikhide +1 more

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What you'll learn

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

Explain the machine learning models development lifecycle

Differentiate between supervised and unsupervised machine learning

Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall

Skills you'll gain

Deep Learning

Predictive Modeling

Reinforcement Learning

Supervised Learning

Applied Machine Learning

Software Development Life Cycle

Artificial Intelligence and Machine Learning (AI/ML)

Machine Learning

Unsupervised Learning

Classification And Regression Tree (CART)

IBM Cloud

There are 3 modules in this course

After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. This Course Is Part of Multiple Programs You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning.

Machine Learning Topics

Final Project

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