Modern Optimization Methods in Python | SciPy 2015 Tutorial | Mike McKerns

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This is great! thank you so much for posting. this is just what i needed following up on the Andrew Ng class. Great analogy that optimizes are the labs of math folks. Even the troubleshooting you went through makes me not feel like so much of an idiot when i'm engaged similarly.

dr_flunks
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Hello Mike,
Thank you for your video. Very informative and professional
My comment on your video (and all Python Optimization tutorials) is that no one pays enough attention to initial guess for the optimizer. All optimizers are sensitive to initial guess and in most of complex problems it is hard to come up with an initial guess.
I used to be a fan of MATLAB but for some reasons I have switched to Python. I watched your 3 hours video in search for an optimization technique with bounds, constrained and NO INITIAL GUESS. All techniques you covered requires initial guess. The point is all these techniques are very sensitive to initial guess and a random initial guess may results in unacceptable answer. I noticed Differential Evolution does not require initial guess but unfortunately it does not work with constraints.
I did some optimization works with MATLAB (with bound, constrained and no initial guess). MATLAB is really robust on optimization and I think Python still behind MATLAB in this area (Or maybe Python can do the same but I am not aware of them).
I really appreciate it if you kindly let me know an optimization technique in Python which can handle bound, constraints and no initial guess condition.

manoocgegr
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Where can I get the notebook you used for this video? Ya'll should make these notebooks available so those learning can tinker around.

at
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I need to know if there is an optimization model with the GRG non-linear method, the same as SOLVER Excel

gvinasmu
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I would like to know more about opt.root(lm) the Levenberg-Marquardt Method has many arguments in the option dictionary, that would be nice to be well explained.

Belofedi
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do you really have to be this boring!
i really want to learn this!

Kawaiiization
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The topic is good but the presenter is awful.

pnachtwey
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