Let's take first our first example & create PR-curve for a logistic regression model! Check this out
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Precision-Recall Curve: Balancing Model Performance Metrics
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A Data Scientist often needs to strike a balance between Precision & Recall! The two are competing metrics & this is where a PR-curve comes to the rescue! Today, I'll clearly explain Precision-Recall Curve & how to create one for your model! Let's go!
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Python: Essential Tool for Advanced Data Analytics Collaboration
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Python: Key Differentiator for Advanced Data Analytics. To extract the maximum value from #data, the analysts, #datascientists, #developers and engineers need to work together effectively − but this is challenging. #DataScience #Python #IoT https://
bit.ly/3rKIc30 -
Email Retention Tradeoffs: Certainty vs Data Loss
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The steelman is “We’re going to trade certainty in not having Oops Can’t Find That Email What Could Possibly Have Happened for certainty in Of Course We Won’t Have A Six Year Old Email.”
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LSH-Based IO-Optimized Algorithm for Machine Learning
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Why not both? I wonder if an LSH-based IO-optimised algorithm would work well.
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10 ChatGPT Projects to Boost Data Science Workflows
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10 ChatGPT Projects Cheat Sheet: KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details. https://
kdnuggets.com/10-chatgpt-pro
jects-cheat-sheet?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=10-chatgpt-projects-cheat-sheet
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Unified Namespace Transforms Industrial IoT Data Management
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A NEW article by John Harrington, Chief Product Officer @HighByteInc
. https://
ow.ly/PTCg50PWOha #sponsored #highbye_iiot #UnifiedNamespace #data #iiot #datamanagement #digitaltransformation #iiotcommunity @kuriharan @FogorosAndrei via @fogoros -
Disappearing Messages Impact on Data Preservation and Documentation
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“Does disappearing messages as a norm change this?” Not that much? Partly because the interesting bit is rarely in SMS-length utterances but rather in spreadsheets and project plans.
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Corporate Data Retention Policies and Historical Record Preservation
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Unfortunately we won’t have nearly as good historical records of contemporaneous non-crackups because firms that survive have e.g. lawyers who will carefully institute data retention policies, IT teams and contracts that tightly limit record keeping to blessed devices, etc.
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Modern Enterprise Crises Revealed Through Internal Documentation
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I don’t know what to say which is useful except “What a document.” The nature of the modern enterprise means we’ll see crackups, almost uniquely, through the internal lens on them, recorded in substantial fidelity in substantially real time.