Data science posts

Although Zamba's models are trained with animals from Africa and Europe, they can be used with videos from other locations that show species the models have never seen. We demonstrate with a dataset from New Zealand.

Using probabilistic classifications from Zamba, we can automatically remove a large majority of blank videos while controlling the fraction of wildlife videos we lose. But how do we know where to draw the line?

We can use Zamba's probablistic classifications to search for videos containing specific animals. Particularly for small animals, this strategy can be highly effective.

Using Zamba's probablistic classifications, you can identify and remove blank videos -- saving viewing time, storage space, and data transfer costs -- while minimizing the loss of videos that contain animals.

Through the Patrick J. McGovern Foundation Accelerator, DrivenData and the Wild Chimpanzee Foundation are teaming up to create automated, accurate, and accessible species detection tools.

The Community Spotlight features fantastic members from our DrivenData community. Karim Amer runs a startup based in Egypt that develops novel AI technologies for AgriTech. Karim talks about the beauty of neutral networks, what has helped him succeed in data science, and the problems he hopes to explore in the future.

Learn how DrivenData uses nbautoexport, an open-source tool we developed, to make Jupyter Notebook code reviews easier.

The Community Spotlight features fantastic members from our DrivenData community. Quy Nguyen, a data scientist from Vietnam, talks about building time series models with lag features and the importance of storytelling in data science.

The Community Spotlight features fantastic members from our DrivenData community. Will Koehrsen, a full-stack data scientist from central Illinois, discusses tackling climate change with data science, being self-taught, and his favorite data science tools.

The Community Spotlight features fantastic members from our DrivenData community. Cecil Rivers, an electrical engineer in West Hartford, USA, talks about tricks for image processing, recruiting for diversity in the sciences, and his favorite sci-fi reads.

The Community Spotlight features fantastic members from our DrivenData community. Lamia Zaghloul, a data analysis consultant in Marseille, France, discusses fog nets, generative art, and using data science competitions to "study up" the rich and powerful.

Emily Dorne and Peter Bull discuss project deon on Podcast.init!