Prevalence, Recall and Precision - An eDiscovery Explainer скачать в хорошем качестве

Prevalence, Recall and Precision - An eDiscovery Explainer

Machine learning and artificial intelligence are extremely helpful tools, but the newness of these tools can make them intimidating. Especially for eDiscovery and lawyers that are trained to seek precedence and stare decisis. By answering questions about key concepts, I hope to make these useful tools more approachable. For example, if you are using a machine learning/artificial intelligence application such as Technology Assisted Review (TAR), how do you even know if the system is working properly? The first step is understanding the accuracy of the machine learning system's predictions. In this video, we introduce three key concepts in measuring a machine learning system's accuracy: they are Prevalence, Recall and Precision. We also introduce the Confusion Matrix, a chart that helps you understand inaccurate predictions such as false positives and false negatives. DiscoveryBriefs is a video channel dedicated to improving the justice system through educational content for the legal community about legal technology and eDiscovery. It’s easy to find hour-long webinars about legal tech and eDiscovery, but who has time for that? So we thought, “There’s must be a better way!” And DiscoveryBriefs was born: a series of 2–3 minute videos focused on topics we all face in eDiscovery and legal technology. We hope to thread the needle of relevance and usefulness while avoiding the temptations of granularity and generality. We are eDiscovery consultants passionate about changing the status quo and our company, Precision Discovery, supports us in our mission. About Kinny Chan Kinny Chan is the Chief Strategy Officer for Precision Discovery. He is a lawyer and eDiscovery enthusiast. He enjoys taking complex challenges and explaining them in simple and understandable terms. He is inspired by the intersection between technology, business and the law. Twitter:   / kinnychan   LinkedIn:   / kinnychan   Web: www.precisiondiscovery.com