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Скачать или смотреть Beyond 99.9% Accuracy: What AI's Numbers Really Mean (Don't Be Fooled!)

  • FlamingosAdvisoryTube
  • 2025-09-10
  • 292
Beyond 99.9% Accuracy: What AI's Numbers Really Mean (Don't Be Fooled!)
AI accuracymachine learning accuracyAI metricsunderstanding AIAI evaluationconfusion matrixfalse positivefalse negativesensitivityspecificityROC curveAI performancehow to evaluate AIAI for businessAI explaineddata science for beginnersAI decision makingaccuracy paradoxmodel evaluationAI for managersAI interpretabilityresponsible AIcritical thinking AIavoiding AI errorsdata science basicsRecallmodel validation
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Описание к видео Beyond 99.9% Accuracy: What AI's Numbers Really Mean (Don't Be Fooled!)

Imagine an AI that's 99.9% accurate – sounds perfect, right? Think again. That tiny 0.1% can hide catastrophic errors, putting projects, and even lives, at risk. In this eye-opening video, we pull back the curtain on AI's report card, revealing why "accuracy" alone is the most misleading number in data science.

We'll expose how a "highly accurate" AI can be utterly useless, even dangerous, by missing the very cases it's designed to find. Learn the critical questions you must ask beyond simple accuracy to truly understand an AI's performance. Discover the "Confusion Matrix" and why not all errors are created equal, breaking down the crucial difference between a "False Positive" (a false alarm) and a "False Negative" (a missed problem) – and which one could cost you everything.

Master the concepts of Sensitivity and Specificity, and understand the fundamental trade-off that defines every AI model. We'll also dive into the hidden power of "Confidence Scores" and how to tell if an AI is truly "calibrated." Finally, you'll learn to interpret the powerful "ROC Curve," allowing you to see an AI's true capabilities at a glance.

Stop being fooled by big numbers. This video equips you with the toolkit to critically evaluate any AI, ensuring you make informed decisions and build trustworthy systems.

🔔 SUBSCRIBE for more AI insights that empower you to make smarter decisions! →    / @flamingosadvisorytube  

▶️ CHAPTERS:
00:00 - The 99.9% Accuracy Lie (Intro)
00:42 - Why "Accuracy" is a Deceptive Trap
02:10 - The Down Syndrome Paradox: When High Accuracy Fails
03:05 - The 4 Outcomes: True Positives, True Negatives & Critical Errors
03:40 - Demystifying the Confusion Matrix
04:30 - False Positives: The Cost of False Alarms
05:00 - False Negatives: The Most Dangerous AI Mistake
05:30 - Catchers vs. Confirmers: Sensitivity & Specificity Explained
06:15 - The Inevitable Trade-Off in AI Performance
06:40 - Beyond Yes/No: Understanding AI Confidence Scores
07:05 - Are We Calibrated? Trusting AI's Certainty
07:25 - The ROC Curve: Visualizing AI's True Power
07:45 - The Smart Questions You MUST Ask About AI
08:00 - Outro: AI Explained to Your Grandma

💡 HASHTAGS:
#AI #ArtificialIntelligence #MachineLearning #DataScience #Accuracy #Bias #DeepLearning #explainableai

Thanks for watching!

📈 Build Smarter AI & ML Models
📧 Contact us: [email protected]
🌐 Or visit: www.losflamingosresearch.com

📚 More on this channel:

MacroNav: Your Market Compass    • MacroNav: Your Market Compass  

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🌍 AI & Beyond:
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🎉 Milestones & Announcements:
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🔍 Deep-Dive:
   • Deep Dive  

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