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 machine learning? This post will dive deeper into the nuances of each field.
Rocket-Powered Data Science
MARCH 19, 2021
The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.” trillion by 2030.”.
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Rocket-Powered Data Science
MARCH 10, 2020
Ahh, that’s the topic for another article. The book Graph Algorithms: Practical Examples in Apache Spark and Neo4j is aimed at broadening our knowledge and capabilities around these types of graph analyses, including algorithms, concepts, and practical machine learning applications of the algorithms.
Smarten
APRIL 10, 2023
Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? It’s simple!
Smarten
MAY 31, 2022
The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Competitive Changes. Market Changes. Trends and Patterns. Service Cross-Selling and Upselling. Quality Control.
FineReport
JULY 28, 2021
If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Photo by Chris Ried on Unsplash. What is Business Intelligence? Insurance Dashboard (by FineReport).
Cloudera
MARCH 2, 2018
If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing.
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