Dataconomy

MARCH 17, 2025

Logistic regression Logistic regression is designed for binary classification tasks, predicting the likelihood of an event occurring based on input variables. It enhances data classification by increasing the complexity of input data, helping organizations make informed decisions based on probabilities.

Decision Trees 91

Decision Trees Predictive Analytics Data Preparation Machine Learning 91

Smart Data Collective

MAY 16, 2022

It also helps in providing visibility to data and thus enables the users to make informed decisions. Data management software helps in the creation of reports and presentations by automating the process of data collection, data extraction, data cleansing, and data analysis.

Data Warehouse 136

Data Warehouse Data Mining Data Mining Data Mining 136

Smart Data Collective

JANUARY 9, 2023

SQL uses a straightforward system of data classification with tables and columns that make it relatively easy for people to navigate and use. Given Python’s versatility, it can be a great language to use when dealing with databases and data analysis.

Database 112

Database SQL Python Data Scientist 112

IBM Data Science in Practice

APRIL 26, 2024

Metadata Enrichment: Empowering Data Governance Data Quality Tab from Metadata Enrichment Metadata enrichment is a crucial aspect of data governance, enabling organizations to enhance the quality and context of their data assets.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

SEPTEMBER 3, 2024

Similarly, in healthcare, ANNs can predict patient outcomes based on historical medical data. Classification Tasks ANNs are commonly used for classification tasks, where the goal is to assign input data to predefined categories. They may employ neural networks to enhance predictive analytics and improve business outcomes.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Mlearning.ai

MAY 8, 2023

A comprehensive step-by-step guide with data analysis, deep learning, and regularization techniques Introduction In this article, we will use different deep-learning TensorFlow neural networks to evaluate their performances in detecting whether cell nuclei mass from breast imaging is malignant or benign. Ten real-valued features: a.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52