Expertise: AI, machine learning, data science, Python, statistical models, deep learning, machine learning ops.
Education: University of Illinois, Chicago
Tirthajyoti Sarkar is a senior director for AI and machine learning at Rhombus Power who has more than 17 years of experience in the industry. Sarkar has previously worked as a data science and solutions engineering manager for Adapdix Corporation and as a senior principal engineer for ON Semiconductor. He has also served as machine learning lecturer for ValleyML. Sarkar has a doctorate in electrical engineering from the University of Illinois-Chicago, and a master’s in analytics from Georgia Institute of Technology.
Benford’s Law states that digits with smaller values are more likely to be the lead digit in a data set than digits with larger values. Here’s when to use the law, when not to use it and why it matters.
