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Machine Learning and Deep Learning - IBM
What you’ll learn
After completing this course, you should be able to:
- Distinguish between artificial intelligence, machine learning, and deep learning
- Describe supervised, unsupervised, and reinforcement learning
- Describe decision trees, linear regression, and logistic regression
- List and explain advantages of classical machine learning
- Describe how neural networks are inspired by the human brain
- Trace the flow of information through a perceptron’s nodes
- Describe machine learning’s trial-and-error learning process
- Define and describe deep learning and its ecosystem
- Identify real-world applications for the deep learning ecosystem
- Identify future trends for machine learning
Resource details
| Contributed by: | Generative AI |
| Authored by: |
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| Licence: | More information on licences |
| First contributed: | 11 July 2025 |
| Audience access level: | Full user |
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