#DataLabeling #MachineLearning #InformationBias Hand labeling data and information bias: @JonKrohnLearns speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users. This episode is brought to you by Iterative (https://iterative.ai), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://www.jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] Why bias in general is good • [00:08:11] The arguments against hand labeling • [00:22:44] How Shayan solves the problem of labeling at his company • [00:41:49] Misconceptions concerning hand-labeled data • [00:50:53] What the Chomsky hierarchy is • [01:03:17] Watchful’s high-performance simulation engine • [01:06:40] What Shayan looks for in his new hires Additional materials: https://www.superdatascience.com/635