Machine Learning and Deep Learning - IBM

Learning objectives

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
• Explain generative AI and the impact in today's world
• Identify future trends for machine learning

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