IBM Technology | What is the K-Nearest Neighbor (KNN) Algorithm? @IBMTechnology | Uploaded September 2024 | Updated October 2024, 19 hours ago.
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Join Martin Keen as he provides an in-depth explanation of the K-Nearest Neighbors (KNN) algorithm, a popular classification and regression classifier in machine learning. Martin covers the basics of KNN, including its assumption that similar data points are located near each other, and how it works with examples - as well as the strengths and weaknesses of KNN, including its simplicity, adaptability, and scalability issues.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdKgKz
Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKgKY
Learn more about the technology → https://ibm.biz/BdKgK2
Join Martin Keen as he provides an in-depth explanation of the K-Nearest Neighbors (KNN) algorithm, a popular classification and regression classifier in machine learning. Martin covers the basics of KNN, including its assumption that similar data points are located near each other, and how it works with examples - as well as the strengths and weaknesses of KNN, including its simplicity, adaptability, and scalability issues.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdKgKz
