2030 and K-nearest Neighbors - Data Science Current

Search:

DAY

WEEK

MONTH

YEAR

Select your country:
Sign up | Log in

2030

K-nearest Neighbors

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. The global machine learning market was valued at USD 19 billion in 2022 and is expected to reach USD 188 billion by 2030 (a CAGR of more than 37 percent).

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Everything to know about Anomaly Detection in Machine Learning

Pickl AI

SEPTEMBER 3, 2023

CAGR during 2022-2030. In 2023, the expected reach of the AI market is supposed to reach the $500 billion mark and in 2030 it is supposed to reach $1,597.1 k-Nearest Neighbors (k-NN): In the supervised approach, k-NN assigns labels to instances based on their k-nearest neighbours.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Algorithm

What is Inductive Bias in Machine Learning?

Pickl AI

DECEMBER 9, 2024

The global Machine Learning market is rapidly growing, projected to reach US$79.29bn in 2024 and grow at a CAGR of 36.08% from 2024 to 2030. k-Nearest Neighbors (k-NN) The k-NN algorithm assumes that similar data points are close to each other in feature space.

Machine Learning

Machine Learning Machine Learning Decision Trees Natural Language Processing

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

MORE WEBINARS

Five machine learning types to know

Everything to know about Anomaly Detection in Machine Learning

What is Inductive Bias in Machine Learning?

Webinars

Stay Connected