Supervised and Unsupervised Learning

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Abstract

As we discussed in the last few chapters, supervised and unsupervised learning are two primary approaches to machine learning. At its core, machine learning is about teaching computers to learn from data. There are many different types of machine learning, but two of the most common are supervised learning and unsupervised learning.

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Notes

  1. 1.

    https://arxiv.org/ftp/arxiv/papers/2204/2204.12868.pdf

  2. 2.

    https://ai.googleblog.com/2021/07/from-vision-to-language-semi-supervised.html

  3. 3.

    www.amazon.science/publications/a-semi-supervised-multi-task-learning-approach-to-classify-customer-contact-intents

  4. 4.

    https://huggingface.co/blog/rlhf

  5. 5.

    www.deepmind.com/research/highlighted-research/alphago

  6. 6.

    https://openai.com/research/learning-dexterity

  7. 7.

    www.bostondynamics.com/products/spot

  8. 8.

    https://waymo.com/

  9. 9.

    https://research.netflix.com/research-area/machine-learning

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© 2023 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature

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Campos Zabala, F.J. (2023). Supervised and Unsupervised Learning. In: Grow Your Business with AI. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9669-1_9

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