Pickl AI

APRIL 13, 2025

Classification is a subset of supervised learning, where labelled data guides the algorithm to make predictions. For example, a classifier trained on labelled emails (spam or not spam) can predict whether a new email belongs to the spam category. These models can detect subtle patterns that might be missed by human radiologists.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Pickl AI

JANUARY 21, 2025

These intelligent predictions are powered by various Machine Learning algorithms. This blog explores various types of Machine Learning algorithms, illustrating their functionalities and applications with relevant examples. Key Takeaways Machine Learning enables systems to learn from data without explicit programming.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

FEBRUARY 2, 2025

One of its key techniques is associative classification in data mining , which combines association rule mining with classification to improve predictive modelling. This method identifies strong patterns that can predict outcomes based on specific attributes, offering valuable insights for businesses.

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

Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. Introduction Machine Learning (ML) has rapidly evolved over the past few years, becoming an integral part of various industries, from healthcare to finance.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

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