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title: "Intro to AI Workshop Series"
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description: "This workshop series will teach you the fundamentals of search and decision-making for AI agents. We will cover Uninformed and Informed Search, Adversarial Search, and Reinforcement Learning. The content we cover includes both a high-level theoretical coverage and a low-level implementation for each concept. By the end of this series, you will have the tools necessary to build your own AI agent which can search and make decisions in various decision-making environments."

2022/FA22/intro-ai-series/README.md

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title: "Intro to AI Workshop Series"
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description: "This workshop series will teach you the fundamentals of search and decision-making for AI agents. We will cover Uninformed and Informed Search, Adversarial Search, and Reinforcement Learning. The content we cover includes both a high-level theoretical coverage and a low-level implementation for each concept. By the end of this series, you will have the tools necessary to build your own AI agent which can search and make decisions in various decision-making environments."
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<!--
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The above is REQUIRED YAML Frontmatter so the README can be rendered
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in the ACM Wiki. DO NOT move the frontmatter from its location.
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It is also ESSENTIAL to fill out; make it good!
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If you have any questions about this template, feel free to ask
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your Director for help!
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title: "Intro to AI: Search Algorithms"
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description: "Interested in learning about the core algorithms behind Artificial Intelligence and Decision-Making? 🧠 Come to our 1st of 3 Intro to AI Workshops this quarter! In this workshop, we will cover Search algorithms for Informed and Uninformed Search in a Game Environment 👾. This workshop will include an interactive Google Colab Notebook for you to code along with us, and by the end, you will have built an AI agent that learns to search in its environment! Disclaimer: No Prior AI Experience necessary, all are welcome! 😄"

2022/FA22/intro-ai-series/workshop-1-ai-search-algorithms/README.md

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title: "Intro to AI: Search Algorithms"
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description: "Interested in learning about the core algorithms behind Artificial Intelligence and Decision-Making? 🧠 Come to our 1st of 3 Intro to AI Workshops this quarter! In this workshop, we will cover Search algorithms for Informed and Uninformed Search in a Game Environment 👾. This workshop will include an interactive Google Colab Notebook for you to code along with us, and by the end, you will have built an AI agent that learns to search in its environment! Disclaimer: No Prior AI Experience necessary, all are welcome! 😄"
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<!--
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The above is REQUIRED YAML Frontmatter so the README can be rendered
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in the ACM Wiki. DO NOT move the frontmatter from its location.
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It is also ESSENTIAL to fill out; make it good!
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-->
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<!--
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If you have any questions about this template, feel free to ask
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your Director for help!

2022/SP22/nlp-series/README.md

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## 5. Author Info
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- Arth Shukla: [LinkedIn](https://www.linkedin.com/in/arth-shukla/) | [GitHub](https://github.com/arth-shukla)
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- Arth Shukla: [Site](https://arth.website/) | [LinkedIn](https://www.linkedin.com/in/arth-shukla/) | [GitHub](https://github.com/arth-shukla)
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- Jackie Piepkorn: [LinkedIn](https://www.linkedin.com/in/jackie-piepkorn-70295418a/) | [GitHub](https://github.com/jackiepiepkorn)
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- Vincent Tu: [LinkedIn](https://www.linkedin.com/in/vincent-tu-422b18208/) | [GitHub](https://github.com/alckasoc)

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