Machine learning (ML) can provide unique analytical insights, as well as help automate some operational and decision-making processes more efficiently and effectively than non-ML alternatives. However, ML is also among the buzziest of buzzwords, and many are overselling and overs ...Show more
Machine Learning is Label Making
Label Making. That is my simple two-word definition of Machine Learning. Machine Learning is Label Making. ML is LM. Especially supervised machine learning, which creates either numerical labels (using regression algorithms) to make predictions about a continuous data value (such ...Show more
Cloudy with a Chance of Data Analytics
Based on one of my presentations, this episode provides a five-part vendor-neutral framework for evaluating the critical capabilities of a cloud data analytics solution: Deploy, Store, Optimize, Analyze, Govern. This episode is sponsored by: Vertica.com Extended Show Notes: ocdqb ...Show more
Big Data Quality, Then and Now
A decade ago, just before the beginning of the data science hype cycle was the big data hype cycle. At that time I had the privilege of sitting down with Ph.D. Statistician Dr. Thomas C. Redman (aka the “Data Doc”). We discussed whether data quality matters less in larger data se ...Show more