Скачать или смотреть Human and AI Interaction | 2.3 - Machine Learning | Purdue University

Data is not just about what you collect but also how you collect it! Join Purdue University Assistant Professor Ankita Raturi as she guides us into the role of data in machine learning for her course "Human AI Interaction." In this video, Prof. Raturi gives an in-depth explanation of how to purposefully collect image data, text data, and time series data for training machine learning models. She discusses the process of contextualizing, cleaning, and processing data to ensure both machine and human readability. Learn about the different types of machine learning like supervised, unsupervised, semi-supervised, and reinforcement learning, and how they can contribute to diverse applications such as pattern recognition, language translation, and recommendation systems.

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