Explore the fundamentals of artificial intelligence and machine learning through interactive programming, engaging discussions, and hands-on activities. You will examine core concepts within the framework of Python programming, image processing, neural networks, deep learning, and ethical considerations in AI. This course balances conceptual understanding with structured implementation using key programs such as, NumPy, SciPy, Matplotlib, TensorFlow as well as real image and text datasets. Through experimentation, model building, and iterative improvement, you will experience how engineers design and evaluate intelligent systems. By the end of the course, you will have developed your own machine learning model and gained insight into how AI research is applied to solve real-world problems.
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