datapine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. A top data science book for anyone wrestling with Python. Hands down one of the best books for data science.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). 7) Security (airports, shopping malls, entertainment & sport events). Edge Computing (and Edge Analytics): Industry 4.0: Examples: (1) Retail. (2) See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52