2001, Analytics, Key Performance Indicator and Visualization

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. ” “Data science” was first used as an independent discipline in 2001. as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management

Management Metadata Analytics Dashboards

Data Leaders Brief

Data science vs. machine learning: What’s the difference?

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

Webinars

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