[48] מה עושים כשיש מעט נתונים - עם נתנאל דוידוביץ

from ExplAInable · host Tamir Nave, Mike Erlihson, Uri Goren, Hila Paz Herszfang

נתנאל, דאטא סיינטינסט ותיק שמוביל היום את המחקר בדאבל וריפיי ידבר איתנו על בעיה כואבת אך נפוצה.גייסנו תקציבים, כוח אדם, ועם הרבה רצון ומוטיבציה ניגשנו לפרויקט חדש - פתחנו את מכסה המנוע, וגילינו לצערינו שאין מספיק נתונים- מה הלאה ?נדבר על שלוש טקטיקות שאפשר לנקוט, בין אם זה תיוג עצמאי ורכישת דאטא, שימוש במודלים כגוןLabel spreading, transfer learning, kdeאו שימוש במודלים אנליטיים יותר, כגון שיטות בייסיאניות או מודלים פיסיקלים.

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[48] מה עושים כשיש מעט נתונים - עם נתנאל דוידוביץ

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