Machine Learning and Deep Learning with IBM

In this course, you will learn how machines can learn and make impressive, evidence-based predictions. Discover the logic behind computers' ability to learn and explore how AI systems inspired by the neurons of the human brain can solve complex problems.

• How do machines learn?
• Classical machine learning
• Deep learning ecosystem
• Generative AI
• Future trends

By the end of the course you will 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.
• explain how neural networks are inspired by the human brain.
• describe the learning process in machine learning based on trial and error.
• define and describe deep learning and its ecosystem.
• give realistic applications for the deep learning ecosystem.
• explain generative AI and its impact on today’s world.
• indicate future trends for machine learning.

• no prior knowledge required