Youtor
222 The Divergence of E
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=MXcsW613msA
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
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