Shadi BalandehA caveat about K-means clustering and many other machine learning models: StochasticityYour amazing data scientist has performed K-means clustering to segment customers, and the clusters made sense and you could label them…5d ago5d ago
Shadi Balandeh“Is your AI model fair?” There are 10 ways to answer that.Many people don’t know this, but there are at least 10 ways to answer the question:Jun 20Jun 20
Shadi BalandehIs scalability a data scientist’s problem or an engineering problem?Should data scientists worry about how their solutions scale, or is it an engineering problem to solve?Jun 11Jun 11
Shadi BalandehCommon Metrics to Evaluate a Model’s FairnessYup! They made the model technically “fair” by making it less accurate equally across all groups!May 28May 28
Shadi BalandehAS3DM or Agile Scientific Data-Driven Decision Making for the win! but what is it?Only 32 percent of business executives say they create measurable value from data, and just 27 percent report that their data and analytics…May 16May 16
Shadi BalandehKolmogorov-Smirnov (K-S) Test to Detect Data DriftEveryone used to love it so what happened?!Apr 15Apr 15
Shadi BalandehBe Careful about Slice-Level Split in Training Image Data!Here is a list of nine publications that claimed +90% accuracy but just due to data leakage from wrong splits!Mar 26Mar 26
Shadi BalandehAre you evaluating your time-series model accurately?“Garbage in — garbage out”,Mar 19Mar 19
Shadi BalandehPrediction vs Confidence intervals in Regression AnalysisDo you know the difference between prediction intervals and confidence intervals in regression analysis?!Mar 8Mar 8
Shadi BalandehWhat is the hardest part about data science?With all the tools now available, producing ‘results’ has become straightforward. The challenge, however, lies in being mindful of…Feb 5Feb 5
