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Interview Questions on Semantic-based Data Mining

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data mining is extracting relevant information from a large corpus of natural language. Large data sets are sorted through data mining to find patterns and relationships that may be used in data analysis to assist solve business challenges.

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Guide For Data Analysis: From Data Extraction to Dashboard

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. The post Guide For Data Analysis: From Data Extraction to Dashboard appeared first on Analytics Vidhya.

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Top Data Science Books to Read in 2024

Marktechpost

As we enter 2024, the field of data science continues to evolve rapidly, making it essential to stay updated with the latest knowledge and trends. These books cover a range of topics from foundational knowledge in data analysis and manipulation to advanced insights into machine learning and AI.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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How to Use Data Mining in Cybersecurity

ODSC - Open Data Science

One business process growing in popularity is data mining. Since every organization must prioritize cybersecurity, data mining is applicable across all industries. But what role does data mining play in cybersecurity? They store and manage data either on-premise or in the cloud.

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20 Technologies in Data Science for Professionals

Analytics Vidhya

This surge in internet penetration underscores the pervasive influence […] The post 20 Technologies in Data Science for Professionals appeared first on Analytics Vidhya. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.

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

IBM Journey to AI blog

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? This post will dive deeper into the nuances of each field.