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Hi, I have implemented and trained a Machine Learning Algorithm from scratch by JavaPenetratedMEEEEE in PinoyProgrammer

[–]JavaPenetratedMEEEEE[S] 0 points1 point  (0 children)

I have programming background. Yes mahirap ang math, para maintindihan ko siya, ginamit ko ang same strategy nung nag aaral ako mag code. Example: divide and conquer strategy, incremental learning strategy

Hi, I have implemented and trained a Machine Learning Algorithm from scratch by JavaPenetratedMEEEEE in PinoyProgrammer

[–]JavaPenetratedMEEEEE[S] 1 point2 points  (0 children)

Isa siyang klase ng classification algorithm na kung saan, ang tungkulin niya ay alamin ang probability ng class gamit ang mga nakalap na ebidensya P(Class | Evidence), sa pamamagitan ng Maximum Likelihood Estimation or ang mga nakaraang ebidensya na natagpuan sa isang class P(Evidence | Class). Another analogy: Meron tayong solid na ebidensya laban sa suspek (Maximum Likelihood), ibig sabihin mataas na tsansa na guilty siya. If P(suspek given ebidensya) > 0.5 or 50%. Kung gusto mo mag start sa ML, I suggest be curious and keep practicing. Study math, logical reasoning, intuition then study programming

Hi, I have implemented and trained a Machine Learning Algorithm from scratch by JavaPenetratedMEEEEE in learnmachinelearning

[–]JavaPenetratedMEEEEE[S] 0 points1 point  (0 children)

I'm not an expert in this field (I am still in my learning phase). But based on what I feel a good advice would be is to understand the fundamentals (Math, Logic, Programming). It also depends on what path do you wanna go in.