Job Trends in Data Analytics: NLP for Job Trend Analysis
KDnuggets
OCTOBER 3, 2023
Perform job trend analysis and check the results using NLP.
KDnuggets
OCTOBER 3, 2023
Perform job trend analysis and check the results using NLP.
Smart Data Collective
MARCH 27, 2023
Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.
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O'Reilly on Data
MARCH 19, 2020
O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%.
Smart Data Collective
NOVEMBER 24, 2020
As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. Here we’ve prepared a detailed outline about the future of BI, including main trends, challenges, specifics, BI-as-a-Service, and most promising BI services of today. Data Governance. Prescriptive Analytics.
Smarten
OCTOBER 24, 2023
Mobile Analytics Features Are Key to Productivity and Decision-Making! If you are considering implementing an analytics package, here are some statistics you may find interesting. More than 58% reported that analytics helped them make more effective decisions, more quickly.
Sisense
FEBRUARY 3, 2021
Artificial intelligence and machine learning are the future of every industry, especially data and analytics. In its 2020 report “Top 10 Trends in Data and Analytics,” Gartner predicts that only 10% of companies will be using augmented analytics to their full potential. AI makes data analysis easier.
datapine
DECEMBER 11, 2019
“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers.
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