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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum. In 2019, another team tested the new fraudulent behavior Honeypot in Ethereum. They examined Ethereum’s smart contracts and used eXtreme Gradient Boosting (XGBoost) to build detection models.

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Patient 360 & Journey Mapping using Graph Technology

GAVS Technology

While there are multiple graph databases in the market today like, Neo4J, JanusGraph, TigerGraph, the following technical discussions pertain to graph database that is part of SQL server 2019. As mentioned above, in SQL Server 2019 a graph database is a collection of node tables and edge tables.

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Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2019 was a particularly major year for the business intelligence industry. Suddenly advanced analytics wasn’t just for the analysts.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

Statistics are infamous for their ability and potential to exist as misleading and bad data. To get this journey started let’s look at the misleading statistics definition. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity!

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What Is Embedded Analytics?

Insight Software

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. Users Want to Help Themselves Data mining is no longer confined to the research department. It is now most definitely a need-to-have.