BrieflySM for Monday
@rnb_anon3d ago
This is so insightful, I feel I just read a secret!😂
The UX Design Case Study That Got Me HiredPosts for this article(2)
I designed a non-traditional learning app that teaches the Korean language using Korean media such as K-pop, K-drama, and K-webtoon with an emphasis on building a habit.
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In 2020, Michigan State University conducted a study using Babbel, a popular subscription-based language learning app and e-learning platform, to answer the question, "How effective are language learning apps?"
New Legislation to Boost Data Science in K-12 and Higher Ed
The Bureau of Labor Statistics estimated in 2021 that employment in data science-related jobs would grow 36 percent by 2031 as various industries look to use data to streamline day-to-day operations.To meet the growing demand for data professionals, education policy advocates are lauding the recently proposed Data Science and Literacy Act, which aims to strengthen and expand data literacy and science programming in K-12 schools and higher education nationwide.
How self-service data analytics can deliver better business insights more quickly
Data analytics can provide a huge competitive advantage for companies, and any technology that delivers analytical capabilities more broadly within organizations presents a lot of potential value.That's exactly what self-service analytics is designed to do.Self-service analytics tools allow business users who are not trained in analytics or data science to perform queries and generate reports on their own, with minimal or no need of support from the IT department.
Data Science Platform Market 2023, Size, Global Share, Trends, Companies Analysis and Revenue Forecast by 2028
IMARC Group has recently released a new research study titled " Data Science Platform Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028 ", offers a detailed analysis of the market drivers, segmentation, growth opportunities, trends and competitive landscape to understand the current and future market scenarios.
Multiple Vendors Make Data and Analytics Ubiquitous
News from eight different companies shows analytics, data management, streaming data and AI are increasingly intermingled, all in the cloud.
Enterprise use cases for GPT-3: How to chat with your own data - DataScienceCentral.com
It's easy to think of LLMs (large language models) as just 'hallucinating' or mere generators of text.A glorified LSTM so to speak.While there are some limitations of LLMs (and indeed they are evolving), a far more interesting question to explore is: How can LLMs be used in enterprise applications?In many ways, enterprise applications of LLMs can overcome some of the problems.
The Future of Data Science Lies in Automation | Transforming Data with Intelligence
The Future of Data Science Lies in Automation
Parts of data science can be automated today, and more may be automated soon.Data science is a wide-ranging field that has been successfully applied in both scientific and business domains.Companies have been heavily investing in all things data in their quest to become data-driven.
Parts of data science can be automated today, and more may be automated soon.Data science is a wide-ranging field that has been successfully applied in both scientific and business domains.Companies have been heavily investing in all things data in their quest to become data-driven.
How data analytics and machine learning can transform your procurement processes
Data analytics is a powerful tool for procurement professionals to unlock value in their data - but it's far from a one size fits all.By understanding the different types, and their relevance to procurement, leaders and professionals can make informed decisions that lead to more optimised processes and better outcomes.
An Ultimate Beginner's Guide About Data Science And Machine Learning: 6 Important Facts - Business Review
Are you eager to learn about data science and machine learning but need more confidence to get started?You're not alone!Data science and machine learning can be overwhelming topics for anyone just getting going with very little background knowledge.But don't give up hope - it's totally possible to become an expert in this area even if you are a beginner, with enough time, effort, and useful resources.
Chief data and analytics officers must lead upskilling initiatives in data science and machine learning - SiliconANGLE
As data scientist hiring continues to boom, many organizations report sustained difficulty finding, attracting and retaining data science talent.Even as initiatives to upskill quantitative professionals grow, machine learning literacy remains low in many organizations.Chief data and analytics officers, or CDAOs, must build development paths that support budding citizen data scientists with the right tools, training and structure.