Pickl AI

FEBRUARY 2, 2025

Summary: Associative classification in data mining combines association rule mining with classification for improved predictive accuracy. It identifies hidden patterns, enhances decision-making, and is widely used in retail, healthcare, and banking. As the data mining tools market grows, valued at US$ 1014.05

Data Mining 52

Data Mining Data Mining Data Mining Decision Trees 52

Data Science Dojo

AUGUST 30, 2023

Statistical analysis and hypothesis testing Statistical methods provide powerful tools for understanding data. An Applied Data Scientist must have a solid understanding of statistics to interpret data correctly. Machine learning algorithms Machine learning forms the core of Applied Data Science.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

ODSC - Open Data Science

NOVEMBER 30, 2023

Most commercially available AI tools are black-box, meaning they do not cite what they generate or make it easy for data scientists to discover where the AI-derived information. It uses data mining techniques like decision trees and rule-based systems to generate correct responses.

AI 94

AI AI Data Scientist Decision Trees 94

Pickl AI

MAY 10, 2023

Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification. Certainly, these predictions and classification help in uncovering valuable insights in data mining projects. Consequently, each brand of the decision tree will yield a distinct result.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

It processes enormous amounts of data a human wouldn’t be able to work through in a lifetime and evolves as more data is processed. Challenges of data science Across most companies, finding, cleaning and preparing the proper data for analysis can take up to 80% of a data scientist’s day.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52