Transcript for:
Comprehensive Guide to Machine Learning

um in trying to get used to how machine learning works [Music] all right let's talk about it first of all another [Music] uh there are three ways a machine can learn there are multiple other ways but [Music] machine [Music] data so based data to learn [Music] um um learning algorithm [Music] so based on the feedback on next time tricorder always positive feedback so over time just to uh get you guys familiar with machine learning and different uh types of machine learning uh carbon questions unsupervised direct [Music] [Music] b um unsupervised learning example multi-dimensional we all suggest you to use python for machine learning current python 80 advantage since python is widely used for machine learning and ai it can only library already built in among [Music] [Music] police [Music] made lights but iris i deserve data data it are mainly full uh different kinds of flowers determined by data so i'm gonna economic bubble foreign [Music] is foreign [Music] me capital [Music] features so zero one two the key defined could procedure team category flower your target names so zero different groups one different setup two different set of virginity economy targeted 5.1 all right petal researcher 1.8 a features available on flowers targeted to a [Music] similarly [Music] um um [Music] [Music] machine foreign a little frustrating so again the built-in method so uh built-in methodology training china what's up actually um [Music] um [Music] ultimately um and randomly by chance [Music] is so let's move on [Music] there are thousands of data science engineers working all over the world ultimately libraries foreign so similarly you know um kenya's neighbors a algorithm [Music] a algorithm [Music] [Music] foreign foreign foreign sir built-in method of chilo we can take a pisces i hope you remember the exchange shower features the training center white train to her channel streams again train product [Music] predicted so for example so it makes life very easy foreign accuracy 97.3 percent [Music] which are accuracy required [Music] um [Music] [Music] [Music] technical [Music] [Music] foreign foreign [Music] um um foreign um is so thank you for coming i'll be um