This is a curated list of some of my favorite books and resources for those interested in Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS), Deep Learning (DL), and related topics. [For those of you coming to this post from the FAU AI Bootcamp, this list should contain all…
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A guest post by Ahmed Awada (*) Introduction Considering the technological era that we live in, it should be no surprise that mobile apps are an integral part of the future. Almost every aspect of our lives is affected by mobile apps, from entertainment, to mobile ordering, to ride sharing,…
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Following up on a previous blog post, I’ve finished grading other assignments for my Spring 2020 AI course at FAU, including two so-called “floating assignments” whose topics can picked by the students as they are mentioned (i.e., as they happen to “float around”) in a lecture. Additionally, just as before,…
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As part of my continued work on science communication and community engagement, I have developed a series of talks targeted at general audiences, covering topics related to science, technology, artificial intelligence, art, human vision, perception, and cognition. Available talks include: Can you trust what you see? The magic of visual…
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Q: What happens when you relax some of the requirements of an assignment and give students more freedom to express their understanding of a topic? A: Students produce excellent work in a variety of different formats. Read on… During my ongoing AI course at FAU I asked students to prepare…
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