1 Principal Component Analysis | PCA | Dimensionality Reduction in Machine Learning by Mahesh Huddar
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YouTubeMahesh Huddar
1 Principal Component Analysis | PCA | Dimensionality Reduction in Machine Learning by Mahesh Huddar
1. Principal Component Analysis | PCA | Dimensionality Reduction in Machine Learning by Mahesh Huddar PCA Algorithm: https://youtu.be/lb8-J4PREu0 #1. PCA Solved Example: https://youtu.be/ZtS6sQUAh0c #2. PCA Solved Example: https://youtu.be/XO0US1aTA50 #3. PCA Solved Example: https://youtu.be/Rz9_kX8UQms The following concepts are discussed ...
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3 Dimensionality Reduction with PCA: Concepts and Implementation
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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer
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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer
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