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On the first livestream episode of "Listen In With KNN" presented by FOX Sports Radio, award-winning broadcast host Kelsey Nicole Nelson ...
YouTube-Kelsey Nelson
Patriots
The Quarterback of the Future for the Washington Redskins
Sonny Jurgensen
Wnba Draft
Champions for the Homeless
Johns Hopkins Center for American Indian Health
Charles Barkley
Favorite Restaurants
Stanford Athlete of the Year
Kevin Durant
Facebook-Kelsey Nicole Nelson
K-Nearest Neighbors (KNN) algorithm is a classification algorithm that works by finding the most similar data points in the training data, ...
YouTube-Prof. Ryan Ahmed
KNN Algorithm
Algorithm
Euclidean Distance
KNN Example
k-nearest neighbors (KNN) algorithm is the simplest supervised machine learning methodology mainly used for classification problems.
YouTube-Niam Yaraghi
AI & Machine Learning Bootcamp(US Only): ...
YouTube-Simplilearn
Introduction to KNN(K Nearest Neighbor)
Why do we need KNN?
What is KNN?
How do we choose the factor 'K'?
When do we use KNN?
How does the KNN algorithm work?
Use case - Predict whether a person will have diabetes or not?
K - Nearest Neighbors - KNN Fun and Easy Machine Learning ⭐ Buy Me Coffee - https://augmentedstartups.info/BuyMeCoffee ===This Video is ...
YouTube-Augmented AI
Intro
How it works
How does KNN work?
Proximity matrix
Applications of KNN
Applications in Finance
Applications in Medicine
Advantages of KNN
Disadvantages
Conclusion
Machine learning and Data Mining sure sound like complicated things, but that isn't always the case. Here we talk about the surprisingly ...
YouTube-StatQuest with Josh Starmer
Awesome song and introduction
K-NN overview
K-NN applied to scatterplot data
K-NN applied to a heatmap
Thoughts on how to pick 'K'
Description of kNN. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA.
YouTube-mathematicalmonk
K-Nearest Neighbor Algorithm
Binary classification
Probabilistic formulation
Probabilistic Interpretation
Generative vs Discriminative Models
Parameter selection
http://bit.ly/k-NN] The k-NN algorithm operates as follows. For a new test instance, we first compute its distance to all the N training ...
YouTube-Victor Lavrenko
How does it work?
Example: digit classification
Nearest-neighbor classification
Classification performance
Nearest neighbors for regression
Regression example
Predicting new values
Interpolation and extrapolation
Extrapolation
Linear regression
MachineLearning #DataScience #KNN Machine Learning Basics: Bitesize machine learning concept about K Nearest Neighbors algorithm!
YouTube-Intuitive Machine Learning
K Nearest Neighbors algorithm
Example
Classification problem
KNN Regression
En este workshop aprenderás qué es el algoritmo kNN, cómo funciona, sus problemáticas y casos de uso. Para ello, lo programaremos paso a ...
YouTube-Universidad de Deusto / Deustuko Unibertsitatea
First video of a classification algorithm.
YouTube-Mario Castro
Supervised Classification
Three Nearest Neighbors
K-NN Example
Pros of kNN
No training step
Normalization
Class Imputation
Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.
YouTube-nptelhrd
K-NN Classifier
Arrange the Distances
K Nearest Neighbor Density Estimation
Density Function Estimation
Estimated density
Density Estimation Procedure
Data Generation
How to choose the value of K?
History of K-NN Rule
K means and K NN algorithm · Comments. thumbnail-image. Add a comment...
YouTube-TELCOMA Global
Unsupervised learning
Clustering
What is clustering?
K-means algorithm
Cluster assignment
Assignment step
K nearest neighbors algorithm
Share your videos with friends, family, and the world.
Classification
Cross-Validation
Validation Set
http://www.engvid.com/ The N sound may be a little difficult to say! After this pronunciation lesson, YOU WILL BE ABLE TO DO IT!
YouTube-English with Ronnie · EnglishLessons4U with engVid
How to pronounce N
Pronunciation of the KN sound
How to say the N sound
How to pronounce NO
Never
How to pronounce not
http://bit.ly/k-NN] What value of k should we use for the k-NN algorithm? Small values of k lead to a low-bias, high-variance classifier ...
The value of K
Prior classifier
Cross-validation
What value of K works best on the training set?
This video is part of the Udacity course "Supervised Learning". Watch the full course at https://www.udacity.com/course/ud726.
YouTube-Udacity
K Nearest Neighbour Algorithm K-NN Looking to learn more about one of the most popular ML models? The K-NN algorithm is used for ...
YouTube-Super Machine Learning
Choose the number k of neighbors
Find the nearest neighbors of this new data point
Identify which are the closest five neighbors
Step three among these k neighbors count the number of data points in each category
Step four assign the new data point to the category
Want to learn more? Take the full course at https://learn.datacamp.com/courses/supervised-learning-in-r-classification at your own pace.
YouTube-DataCamp
What is k?
Why a small k is useful
How to set k?