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Stephanie Glen's Page
Profile Information
- Short Bio:
- Stephanie Glen is a contributing writer at DataScienceCentral.com. After working for several years teaching mathematics and statistics at the university level, she created and developed the website StatisticsHowTo.com.
- Company:
- Andale Publishing, LLC
- Job Title:
- CEO
- Seniority:
- Professor
- Job Function:
- Chief AI Officer
- Country
- USA
- Number of employees:
- 1 to 49
- Industry:
- Wholesale
- Interests:
- Contributing
- Topics of Interest
- Data Science
Stephanie Glen's Blog
The Future of Pandemic Modeling
Posted on October 18, 2021 at 5:30am 0 Comments 1 Like
- A hundred years of modeling didn't help forecast the extent of the current pandemic.
- Hundreds of thousands of deaths could have been prevented with better models.
- The quantitative economic epidemiological model may be the future for pandemic modeling.
Many countries, including the UK and US, mounted inefficacious…
ContinueSunglasses and Face Mask Won't Fool Facial Recognition Systems Any More
Posted on October 10, 2021 at 5:00pm 0 Comments 1 Like
- Tips to fool facial recognition systems are fast becoming obsolete.
- New research using partial features is showing a high success rate.
- The future looks bleak for privacy advocates.
Facial recognition systems have exploded in popularity in the last couple of years. From filing for…
ContinueUsing Data Science to Model Ocean Plastic Pollution
Posted on September 30, 2021 at 3:50am 0 Comments 1 Like
New study uses agent-based model for displacement of plastics in the ocean.
- Authors hope to build awareness about plastic pollution.
- The model calculates drift based on the direction of surface water currents.
- Future uses may include tracking crash debris.
A new study from researchers at The …
ContinueNew Study uses Federated Learning to Predict Covid-19 Outcomes
Posted on September 20, 2021 at 8:19am 0 Comments 0 Likes
- New study used Federated Learning to predict severity of Covid-19 for E.R. patients.
- Significant improvements seen in central vs. local models.
- Model slated for use in production in the near future.
Many ethical and legal challenges surround COVID-19 data analysis, including data ownership, data security, and…
Continue
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Your article is so relevant Stephanie, as I am 48 and contemplating an online masters in Data Science. My answer has been to do as much as I can through MOOCs, self-driven projects, and other less-expensive learning. If it gets to the point that I have done all of that and proven to myself that I can do Data Science, and that I need a degree to get land a job, I will then do it. Reality is you do need to be more careful and more risk-averse as you age, as the time to recover from mistakes is just not there anymore.