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Machine Learning
Machine Learning is a subset of AI that encompasses many different ideas, programming languages, frameworks, and approaches to the subject. Machine Learning is the ability for a computer to write new rules as it processes new information. It's putting the power of human reasoning into a computer.
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 Introducing Large Language ModelsLarge Language Models like ChatGPT are rapidly transforming natural language processing and shaping the future of technology. In this microcourse, learn more about this fascinating type of machine learning model specifically trained to understand and generate natural language text. This microcourse was written with the help of ChatGPT. The video was produced using Synthesia, an AI video creation platform. 
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    15 minWorkshopThe AI Multiverse: Exploring the Subfields of Artificial IntelligenceReady to expand your understanding of AI? In this workshop, we’ll explore some of the major branches of AI, including machine learning, robotics, and computer vision. Viewed
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 Introduction to Computer VisionComputer Vision (CV) is a subfield of Artificial Intelligence that enables machines to interpret and make decisions based on visual data. Explore its origins and applications, and the fundamental concepts that drive its development. 
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 Machine Learning BasicsMachine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subject, so the term "machine learning" is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules and learn about new things, on its own. In this course, we'll explore some of the big ideas, and toward the end, we'll even write a little bit of code in Python that can make some intelligent predictions. 
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    7 minWorkshopNeural Networks in a NutshellWelcome to our introductory Neural Networks workshop, where we provide a concise yet enlightening overview of the fascinating world of AI. Delve into the fundamentals of artificial neurons, hidden layers, and outputs, demystify the role of activation functions, and gain insight into common challenges such as overfitting. Join us for this brief but insightful journey into the potential of neural networks, offering a sneak peek into the future of technology. Viewed
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    11 minWorkshopHow to Learn Data ScienceData Science can seem overwhelming because of its vastness. But if you map out a learning path, acquiring the necessary skills is not a difficult task. In this video, we'll build a learning path through Data Science, starting with programming and math, moving on to machine learning and data foundations, and rounding things out with domain expertise. Viewed
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