Pickl AI

JANUARY 21, 2025

Support Vector Machines (SVM) SVMs are powerful classification algorithms that work by finding the hyperplane that best separates different classes in high-dimensional space. K-Means Clustering K-means clustering partitions data into k distinct clusters based on feature similarity.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Data Science Dojo

AUGUST 11, 2023

Models: Bridging data and predictive insights Models, in the context of data science, are mathematical representations of real-world phenomena. They play a pivotal role in predictive analytics and machine learning, enabling data scientists to make informed forecasts and decisions based on historical data patterns.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

Pickl AI

FEBRUARY 2, 2025

Applications of Associative Classification Associative classification is a versatile technique used across multiple industries to improve decision-making and predictive analytics. It provides a collection of Machine Learning algorithms for data mining tasks such as classification, regression, clustering, and association rule mining.

Data Mining 52

Data Mining Data Mining Data Mining Decision Trees 52

IBM Journey to AI blog

DECEMBER 20, 2023

Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Dataconomy

MAY 25, 2023

AI algorithms can uncover hidden correlations within IoT data, enabling predictive analytics and proactive actions. Here are some key advantages: Enhanced predictive analytics AI-powered IoT devices can predict future outcomes and behaviors based on historical data patterns.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? AI models can be trained to recognize patterns and make predictions.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? AI models can be trained to recognize patterns and make predictions.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91