Basic AI Models and Techniques
Course Description
Basic AI Models and Techniques introduces foundational concepts in artificial intelligence, including machine learning algorithms and neural networks. It covers essential techniques such as supervised and unsupervised learning, classification, and model evaluation. By the end of the course, students will understand how to build and apply simple AI models to solve real-world problems.
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No entry requirements specified for this course.
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5-point rating by students
I had little background in food safety, but this course broke everything down clearly. The feedback I received after the quiz helped me see where I can feel more confident applying these principles at work. Highly recommended for anyone in the food industry!
This course gave me a solid understanding of food safety risks and how to manage them. The real-world examples were particularly helpful and relate to my daily tasks. Would love to see even more interactive content in future versions.
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