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Kullback-Leibler (KL) Divergence Mathematics Explained

In this video, we explain the mathematical intuition behind the Kullback-Leibler (KL) Divergence. References ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Why We Don't Use the Mean Squared Error (MSE) Loss in Classification:    • Why We Don't Use the Mean Squared Err...   Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Eigendecomposition Explained:    • Eigendecomposition Explained   Multivariate Normal (Gaussian) Distribution Explained:    • Multivariate Normal (Gaussian) Distri...   The Bessel's Correction:    • Why We Divide by N-1 in the Sample Va...   Gradient Boosting with Regression Trees Explained:    • Gradient Boosting with Regression Tre...   P-Values Explained:    • P-Values Explained   Kabsch-Umeyama Algorithm:    • Kabsch-Umeyama Algorithm - How to Ali...   Covariance vs Correlation Explained:    • Covariance and Correlation Explained   Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:07 - Motivation 00:51 - Mean Squared Error (MSE) 01:20 - Probabilities Division 01:48 - Logarithm Motivation 02:09 - Probability Weighting Motivation 02:39 - Discrete vs Continuous KL Divergence 03:02 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic   / datamlistic   📸 Instagram: @datamlistic   / datamlistic   📱 TikTok: @datamlistic   / datamlistic   Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon:   / datamlistic   ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #kldivergence #loss #probabilities