Nutrition data science
Noah Gift and Michelle Davenport explore exciting ideas in nutrition using data science; specifically, they analyze the detrimental relationship between sugar and longevity, obesity, and chronic diseases.
| Talk Title | Nutrition data science |
| Speakers | Noah Gift (UC Davis ), Michelle Davenport (Quantitative Nutrition) |
| Conference | Strata Data Conference |
| Conf Tag | Big Data Expo |
| Location | San Francisco, California |
| Date | March 26-28, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Nutritional science and data science are two fields on a collision course. The field of nutrition has been plagued by confusing signals to the public, largely due to statistical limitations and poor data quality—both of which can be enhanced by data science and the collective power of new technologies. Noah Gift and Michelle Davenport explore exciting ideas in nutrition using data science; specifically, they analyze the detrimental relationship between sugar and longevity, obesity, and chronic diseases and make predictions based on our current consumption rates. For more information, check out their Kaggle project, GitHub project, and Colab notebook.
