brv

Learning 🌱| Django-React

[brv @bravotxt]

I'm back from digital detox and ready to ruin my productivity again.

[brv @bravotxt]

@freshlimesofa 😂😂

[brv @bravotxt]

Wrapped up this ML challenge! Gained valuable experience and insights. Been a bit busy lately due to my Mid sems but glad to keep pushing forward! #MachineLearning

[brv @bravotxt]

Finally... mid sems are OVER! Time to grind #MachineLearning

[brv @bravotxt]

Mid sem is about to start... LET'S GRIND! #MidSem

[brv @bravotxt]

@cneuralnetwork Automata ☠️

[brv @bravotxt]

@Nakshsonigara Thts grt make something awesome

[brv @bravotxt]

Mid sem is about to start... LET'S GRIND! #MidSem

[niel @beaconnbin]

" Your lack of commitment is almost an insult to the ones who beleive in you " ~ @TheNotoriousMMA

[brv @bravotxt]

@Nakshsonigara Do you have ebook?

[brv @bravotxt]

Dual optimization in SVM has deep conceptual depth and I want to explore it more. Any suggestions on the best way to approach this?

[brv @bravotxt]

@matlakana_benny @Nakshsonigara Yeah, tomorrow I have done the quadratic programming question using KKT got the intuition, and understood the concept but I’m not familiar with the Simplex algorithm yet I’ll definitely cover it soon, thanks

[brv @bravotxt]

@wickedbrok Not exactly ig you are good to go without this.... But it's still a good idea to ask those with more experience

[brv @bravotxt]

@wickedbrok In kernel trick we transform data to higher dimension so may be thr is significance idk much about this.. Are you asking this from the perspective of word embeddeding? I m begginer idk much..

[brv @bravotxt]

@divyaporwal_ Pick that one which aligns with your future goals

[brv @bravotxt]

@wickedbrok I meant the Lagrange duality concept you can refer in CS229 and Thanks for your wishes

[brv @bravotxt]

@wickedbrok Min (w,b) 1/2 ||w||^2

yi(wTxi + b) >= 1 -- inequality constraint

[brv @bravotxt]

@wickedbrok In the primal problem we hv inequality constraints that are computationally difficult to handle by transforming it into the dual problem by applying the Lagrangian method these constraints are converted into equality constraints making the optimization process easier to solve

[brv @bravotxt]

@wickedbrok It's about solving SVMs using Lagrange multipliers and the dual problem formulation. It helps in handling constraints efficiently and leads to kernel tricks. To get the whole idea I wanted to explore this so...

[brv @bravotxt]

@021destiny 😂😂

[brv @bravotxt]

Finally done with dual problem....
#SVM #daysofML

[brv @bravotxt]

@Nakshsonigara I'm referring to Hands On Machine Learning with Scikit Learn Keras and Tf but I'm looking for a more intuitive source to study dual optimization problem. Any recommendations?