Overview
Understanding the difference between traditional machine learning and generative AI is crucial for making informed decisions about AI implementation. In this course, Introduction to Generative AI vs. Traditional ML, you’ll learn to evaluate, compare, and choose the best AI approach for your projects. First, you’ll explore the fundamentals of traditional ML, including supervised, unsupervised, and reinforcement learning. Next, you’ll discover how generative AI models like transformers, GANs, and diffusion models work and where they excel. Finally, you’ll learn how to select the right approach based on data availability, business needs, and computational resources. When you’re finished with this course, you’ll have the skills and knowledge of both traditional ML and generative AI needed to make strategic AI decisions and apply the right technology to your projects effectively.
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