Mlearning.ai

NOVEMBER 29, 2023

K-Nearest Neighbor Regression Neural Network (KNN) The k-nearest neighbor (k-NN) algorithm is one of the most popular non-parametric approaches used for classification, and it has been extended to regression.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ). We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review.

ML 76

ML ML Machine Learning Machine Learning 76

Pickl AI

SEPTEMBER 12, 2024

B Big Data : Large datasets characterised by high volume, velocity, variety, and veracity, requiring specialised techniques and technologies for analysis. Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance. This trade-off can easily be reversed by increasing the k value which in turn results in increasing the number of neighbours. This data can be used to pass as an input to the neural network maintaining a small batch size.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52