[Machine Learning] Supervised Learning and K-Nearest Neighbors

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  • Опубликовано: 26 ноя 2024
  • AI is becoming popular, and machine learning is eating up everything. Machine learning allows computers/software/algorithms to learn, recognize, and predict from data. From today, I will introduce a series of easy machine-learning tutorials for beginners!
    In this video, we will begin with the K-Nearest-Neighbors model, or KNN for short, the most widely used machine learning method. KNN is simple, easy to understand, and fast to implement since it doesn't do any actual training. However, KNN is slow to predict because of the heavy distance calculations. Plus, it requires a lot of memory to store the data.
    The presentation slides and source codes I use here were obtained from the INTEL Machine Learning course. I reorganized the contents for ease of understanding. You can download the original content from the website using the link.
    [INTEL Introduction to Machine Learning]
    www.intel.com/...
    #machinelearning #nearestneigbhor #knn

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