Towards AI

APRIL 4, 2024

A sector that is currently being influenced by machine learning is the geospatial sector, through well-crafted algorithms that improve data analysis through mapping techniques such as image classification, object detection, spatial clustering, and predictive modeling, revolutionizing how we understand and interact with geographic information.

K-nearest Neighbors 69

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 69

Pickl AI

JULY 17, 2023

Therefore, it mainly deals with unlabelled data. The ability of unsupervised learning to discover similarities and differences in data makes it ideal for conducting exploratory data analysis. However, unsupervised learning can be highly unpredictable compared to natural learning methods.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 75

Machine Learning Machine Learning Supervised Learning Clustering 75

PyImageSearch

JUNE 19, 2023

machine learning, statistics, probability, and algebra) are employed to recommend our popular daily applications. By the end of the lesson, readers will have a solid grasp of the underlying principles that enable these applications to make suggestions based on data analysis. Several clustering algorithms (e.g.,

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K-nearest Neighbors Clustering Algorithm Deep Learning 56

IBM Journey to AI blog

DECEMBER 19, 2023

This type of machine learning is useful in known outlier detection but is not capable of discovering unknown anomalies or predicting future issues. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

Machine Learning 66

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 66

Mlearning.ai

JULY 6, 2023

NOTES, DEEP LEARNING, REMOTE SENSING, ADVANCED METHODS, SELF-SUPERVISED LEARNING A note of the paper I have read Photo by Kelly Sikkema on Unsplash Hi everyone, In today’s story, I would share notes I took from 32 pages of Wang et al., Hence it is possible to train the downstream task with a few labeled data.

Supervised Learning 52

Supervised Learning Deep Learning Deep Learning K-nearest Neighbors 52

Pickl AI

SEPTEMBER 3, 2023

49% of companies in the world that use Machine Learning and AI in their marketing and sales processes apply it to identify the prospects of sales. Anomalies, being different from normal data, result in higher reconstruction errors. Points that don’t belong to any cluster or are in low-density regions are considered anomalies.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52