IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Cloudera

AUGUST 4, 2021

Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We We use the Cloudera tool to employ machine learning for preventive maintenance,” says Terry Kline, Navistar SVP and CIO.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. appeared first on IBM Blog. A digital twin is the digital representation of a physical asset.

Unstructured Data 79

Unstructured Data Consulting Visualization IoT 79

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. It offers many statistics and machine learning functionalities such as predictive models for future forecasting.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. An entire conference track was dedicated to topics like graph embeddings, vector representations and matrix operations.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87