MeetupApplications of Data ScienceClaimPallet built a multi-label, multi-class machine-learning classifier to automate job-data classification and labeling in its backend.13:58
Threads / Humans in the loop / 2022
Humans in the loop in 2022
6 sessions
MeetupApplications of Data Science
PodcastMLOps CritiquesClaimMatthijs Brouns says teams can automate model retraining and produce a report for human approval without automating every model-release decision.40:56
PodcastLabeled Datasets that Correct Themselves AutomaticallyPushed backAutomated data cleaning should not be treated as a completely human-free process, because high-quality corrections still require human involvement.37:46
PodcastScaling Similarity Learning at DigitsClaimHannes Hapke says the only human deployment checkpoint is when a data scientist reviews automatically generated reports and decides whether the new model is worth deploying.23:54
PodcastLet's Continue Bundling into the DatabaseClaimThe appropriate level of conservatism for a model depends partly on how much a human remains in the loop and on the cost of an incorrect result.15:31
MeetupCreative AI: Using ML to Create Art, Music, and JokesPushed backSuyash Joshi says the copyright claim for an autonomously AI-generated image was rejected because human authorship was required.17:32