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I recommend you watch in 1.25x or 1.5x to not waste time. Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video. Gradient Descent (unconstrained optima of differentiable function) Chapter 5: Convex Numerical algorithms 5.1: The In this video we start looking at non-smooth optimization. We take a look at the subdifferential set and several Partial X bar okay now I'm gonna talk about some Of course our function had some special properties and this is exactly what we're gonna Neither the lasso nor the SVM objective function is differentiable, and we had to do some work for each to optimize If you find our videos helpful you can support us by buying something from amazon. amazon.com/?tag=wiki-audio-20 ... Note: sound cuts out for last 20 minutes or so, sorry! Ryan Tibshirani @ Stats, CMU. stat.cmu.edu/~ryantibs/convexopt/
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