Data Science Dojo

APRIL 10, 2023

In fact, it’s estimated that by 2025, the world will generate 463 exabytes of data every day, which is equivalent to 212,765,957 DVDs per day! In data mining, popular algorithms include decision trees, support vector machines, and k-means clustering.

Data Mining 195

Data Mining Data Mining Data Mining Algorithm 195

Pickl AI

FEBRUARY 7, 2025

The Machine Learning market worldwide is projected to grow by 34.80% from 2025 to 2030, resulting in a market volume of US$503.40 This rapid growth indicates the increasing importance of machine learning across industries and its transformative impact on technology. billion by 2030. billion by 2034.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

Classification techniques like random forests, decision trees, and support vector machines are among the most widely used, enabling tasks such as categorizing data and building predictive models. Clustering methods are similarly important, particularly for grouping data into meaningful segments without predefined labels.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40