From the course: Delivering Data-Driven Decisions with AWS: Applying Machine Learning, Data Engineering, and Generative AI
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Introduction to machine learning in the real world
From the course: Delivering Data-Driven Decisions with AWS: Applying Machine Learning, Data Engineering, and Generative AI
Introduction to machine learning in the real world
- [Instructor] Would you like to gain insights into the future with machine learning? We may predict who will win the US tennis open, electricity prices, loan repayments, and more. In this video, we will learn about machine learning and explore real-world applications. IBM described machine learning as a subset of AI and computer science, where data is used to mimic human learning. Four flavors of machine learning are supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. In machine learning, we have unlabeled data, which is not annotated, such as text and images. Labeled data is annotated, such as emails, names, address, cat breeds. Supervised learning allows us to predict a numeric outcome with labeled data. With unsupervised learning, the outcome variable is not specified using unlabeled data. Semi-supervised learning is a hybrid where a small portion of labeled data…
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