Neural networks — the technique underlying nearly all systems we describe as “artificial intelligence” today — are revolutionizing the way we communicate, get around, and express ourselves. In one of the most prominent recent examples, the GPT-3...
Tag: Machine Learning
Recapping DSSVirtual with a Data ‘Bang’ in Healthcare, Finance & Technology
The very first DSSVirtual of 2021 was held February 16-17 - and we’re still feeling excited about how it turned out! With a diverse lineup featuring 20+ talks from leading data scientists, over 1,500 AI enthusiasts joining the virtual event, and lots of great...
Data Science Use Cases and Challenges in Healthcare in 2021
Artificial Intelligence (AI) offers promising opportunities to reinvent the healthcare industry, from optimizing the diagnostic progress to improving quality of care as well as managing hospital capacities. Particularly during a global pandemic AI carries the hope to...
A Guide to Differential Privacy at Scale
Introduction The growth of AI and machine learning (ML) has led researchers to think, research and stress the development of ethical AI solutions - with AI models / solutions able to provide: Explainability & Interpretability Privacy Fairness Model...
Using machine learning for content recommendations: Q&A with The New York Time’s data science director
During our recent Data Science Salon Virtual conference for the media, advertising and entertainment industries, we had Anne Bauer with us from The New York Times. She gave one of our most viewed talks about how The New York Times experiments with personalized...
Top 25 Data Science Influencers to Follow in 2022
Top 25 Data Science Influencers to Follow in 2022 In the current times of COVID-19, we rely on exchanging information online, now more than ever. Keeping track of the latest open source library, a new algorithm or recently published paper can be hard or impossible on...
The Data Diet: How Data Journalism Becomes Sustainable
My pandemic media diet has been mostly newsletters and podcasts. I start my day with The New York Times and Morning Brew, and I end it questioning whether the CIA wrote one of the great post-Cold War rock ballads while cooking dinner. The bar to being a content...
Bias and Interpretability in Machine Learning
Presented by Fatih Akici – Manager, Risk Analytics and Data Science at Populus Financial Group during Data Science Salon Austin, you can watch the full talk here. As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more...
Leveraging Machine Learning and Open Data for Smart Cities
Based on a presentation by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility, watch the full presentation here. Widely considered one of the most interesting talks at #DSSATX (overall event recap here), Priscilla Boyd’s real-world examples of data...
What Indeed’s Job Market Data Tells Us About Trends in Data Science
Based on a presentation by Chris Lindner – Manager, Product Science at Indeed, watch the full presentation here. Note: This talk was presented in February, and the job market has changed quite a bit amidst the COVID-19 pandemic. While not specific to jobs in data...