Data that is used for decision-making may not be useful without a certain degree of accuracy. In this video, learn how to assess if your data is accurate.
- [Presenter] Accuracy is extremely important … when it comes to data. … If we use inaccurate data as an input … in our machine learning algorithms or AI solutions, … as well as statistical models, … our results are likely to be unreliable … due to the bias that exists in the model. … When data is unreliable, … typically it will become unusable … depending on what threshold be set for usability. … Of course, in reality, … we can never ensure a hundred percent accuracy. … And this makes sense in part … because it's not always possible to know the truth. … For instance, many people will lie … on their Facebook profiles. … Now, if we were to collect information … about potential COVID patients using Facebook profiles, … the metadata that we collect from those websites … would be inaccurate. … Of course, accuracy can't be 100% guaranteed in every case. … And the question accuracy as relates to COVID-19 … is an important topic on a number of levels. … The accuracy of the testing for the infection, …
This course was created by Madecraft. We are pleased to host this content in our library.
- Identifying high-quality data sources
- Evaluating data usability, accuracy, and more
- COVID-19 data sources
- Challenges and takeaways