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Personal branding framework with Multivariable Calculus

want to apply multivariable calculus to your personal brand? message me →   / arnoldtrinh   today we talk the theory behind gradient descent and it's relevance to us creating a personal brand and what goes along with it. (defining personal brand here as your online resume). The Formula: Θ=Θ−𝛼∇J(Θ) Where: Θ = Current state (the parameter being optimized) 𝛼 = Learning rate (step size for adjustments) ∇J(Θ) = Gradient (the rate of change or slope of the function being optimized) simply put: if the change things slightly you can start approaching to the optimal solution based on trial and error. statistically significant = typically 30 times you've sampled or trialed something. if you're interested in chatting deeper, let me know in the comments. I'm only a few levels into calculus not quite a mathematician but I'll try the best I can to help if we need to dive into more advanced concepts.