Shafeeq Ur Rahaman, Author at Towards Data Science https://towardsdatascience.com Publish AI, ML & data-science insights to a global community of data professionals. Sat, 29 Nov 2025 15:00:00 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.3 https://towardsdatascience.com/wp-content/uploads/2025/02/cropped-Favicon-32x32.png Shafeeq Ur Rahaman, Author at Towards Data Science https://towardsdatascience.com 32 32 Metric Deception: When Your Best KPIs Hide Your Worst Failures https://towardsdatascience.com/metric-deception-when-your-best-kpis-hide-your-worst-failures/ Sat, 29 Nov 2025 15:00:00 +0000 https://towardsdatascience.com/?p=607765 The most dangerous KPIs aren’t broken; they’re the ones trusted long after they’ve lost their meaning.

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]]> The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix https://towardsdatascience.com/the-misconception-of-retraining-why-model-refresh-isnt-always-the-fix/ Wed, 30 Jul 2025 16:40:16 +0000 https://towardsdatascience.com/?p=606753 Retraining is easy; knowing when not to is the real challenge. In machine learning, performance drops are rarely about stale weights; they’re about misunderstood signals.

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]]> Your DNA Is a Machine Learning Model: It’s Already Out There https://towardsdatascience.com/your-dna-is-a-machine-learning-model-its-already-out-there/ Mon, 02 Jun 2025 19:15:37 +0000 https://towardsdatascience.com/?p=606184 Even if you never sequenced your genome, predictive systems already know a lot about it. Genomic inference has become a population-scale model, and you’re probably in it.

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]]> The Automation Trap: Why Low-Code AI Models Fail When You Scale https://towardsdatascience.com/the-automation-trap-why-low-code-ai-models-fail-when-you-scale/ Fri, 16 May 2025 19:24:37 +0000 https://towardsdatascience.com/?p=606039 Low-code AI platforms promise speed, a model without a single line of code. But when you try to scale them, they deliver something else: silent crashes, cryptic failures, and models that choke under pressure.

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]]> The Shadow Side of AutoML: When No-Code Tools Hurt More Than Help https://towardsdatascience.com/the-shadow-side-of-automl-when-no-code-tools-hurt-more-than-help/ Thu, 08 May 2025 21:31:00 +0000 https://towardsdatascience.com/?p=605953 Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation into an architectural risk.

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