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Evaluating ChatGPTs Data Analysis Improvements: Interactive Tables and Charts | by Yu Dong | Jul, 2024 – Towards Data Science
Is ChatGPT becoming a BI tool? In May 2024, alongside the exciting release of the GPT-4o, OpenAI announced its improvements to data analysis in ChatGPT, featuring interactive tables and charts, and integration with Google Drive and Microsoft OneDrive. In this article, I will evaluate these new features and envision the future of data analysis with ChatGPT.
BlazeFace: How to Run Real-time Object Detection in the Browser – Towards Data Science
A step-by-step guide to training a BlazeFace model, from the Python training pipeline to the JavaScript demo through model conversion. 11 min read Thanks to libraries such as YOLO by Ultralytics, it is fairly easy today to make robust object detection models with as little as a few lines of code. Unfortunately, those solutions are not yet fast enough to work in a web browser on a real-time video stream at 30 frames per second (which is usually considered the real-time limit for video applications) on any device
Google and Howard University to train underrepresented high schoolers in data analyticsand its free to students – Fortune
If youre thinking about going to college to, say, pursue a degree in data science, heres a statistic to listen to: college graduates make $1.2 million more, on average, during their lifetime than those who dont. Thats according to data compiled by the Association of Public and Land-Grant Universities. For those early in their career, obtaining a degree is about more than simply getting a diplomait means a substantially greater change at having a higher salary, and thus, having greater social and economic mobility
Analytics and Data Science News for the Week of July 19; Updates from Microsoft, Qlik, Teradata & More – Solutions Review
Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of July 19, 2024. Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space.
Diversifying the Data Science Workforce: The DataMosaic Program – CDC
Description The Division of Global Migration and Quarantine (DGMQ) Office of Innovation, Development, Evaluation, and Analytics (IDEA) intentionally established a diverse team of fellows to develop DataMosaic, a CARES Act-funded proof-of-concept program that seeks to connect and harness population movement, epidemiological, and genomic data to increase public health response efficiency. In addition to IDEA's core analytics team, DataMosaic consists of 11 fellows from different programs, including Oak Ridge Institute for Science and Education (ORISE), Public Health Analytics and Modeling (PHAM) Program, and Public Health Informatics Fellowship Program (PHIFP), as well as health communications fellows, who receive intermediate and advanced data science upskilling to help fill critical needs within the agency. IDEA aims to refine health equity science by leveraging the lived experiences of the diverse team of fellows in data science approaches and methodologies.
Center for Community-Engaged Artificial Intelligence and the Connolly Alexander Institute for Data Science launch summer research program – Tulane…
July 16, 2024 9:30 AM | The Center for Community-Engaged Artificial Intelligence (CEAI) at Tulane University, in partnership with the Connolly Alexander Institute for Data Science (CAIDS), established the Community-Engaged Artificial Intelligence and Data Science Summer Research Program. This innovative program aims to foster research into human-centered artificial intelligence (AI) with a focus on social impact, emphasizing the importance of building meaningful relationships with diverse communities throughout the AI lifecycle. The Community-Engaged AI and Data Science Summer Research Program supports research into how AI technologies are developed and deployed in ways that are socially beneficial, inclusive, effective, fair, transparent and accountable.
Heather Barker travels to New Zealand to present at International Association of Statistics Education Roundtable – Today at Elon
Heather Barker, assistant professor of mathematics and statistics, joined a small group of 40 statistics educators at the sixth IASE roundtable at the University of Auckland in New Zealand from July 2-5, 2024. Share: Share this page on Facebook Share this page on LinkedIn Email this page to a friend Print this page Heather Barker, assistant professor of mathematics and statistics at Elon University, recently presented at the International Association for Statistical Education (IASE) Roundtable Conference held at the University of Auckland in New Zealand. The conference, held from July 2 to July 5, 2024, brought together only 40 to 50 participants from around the world to discuss the theme of connecting data and people for inclusive statistics and data science education
Bipartisan Senate bill proposes $12B for DOEs AI work to spur energy breakthroughs, other advances – Utility Dive
Dive Brief: FASST will transform the vast repositories of scientific data produced at DOE user facilities to be AI-ready and build the next-generation of highly energy efficient AI supercomputers, the agency said Tuesday. DOE in April published a pair of reports concluding AI can help manage the U.S
Research Centers and Initiatives – University of Illinois Urbana-Champaign
ACE Center for Evolvable Computing The ACE Center aims to devise novel technologies for scalable distributed computing that will improve the performance and energy efficiency of diverse applications by 100x over the expected computer systems of 2030.
Understanding Conditional Probability and Bayes Theorem | by Sachin Date | Jul, 2024 – Towards Data Science
Photo by Stephen Cobb on Unsplash A primer on two concepts that form the substrate of regression analysis Few incidents in history exemplify how thoroughly conditional probability is woven into human thought, as remarkably as the events of September 26, 1983. Just after midnight on September 26, a Soviet Early Warning Satellite flagged a possible ballistic missile launch from the United States directed toward to the Soviet Union. Lt.