assign characteristics but how do machines learn and when do they make mistakes. researching these very questions. clearly shows that the horse in the picture has not been recognized for the models entire attention is focused on this text on this copyright tag that really surprised us. we looked at the data set again and saw that many of these horse pictures had a copyright tag on them and that the system doesn t recognize the horses at all which is precisely what you want to avoid or this. so my kids the group machine learning at the berlin for its institute neural networks are fed with huge quantities of data however it s not always clear which parts of the data they use to make their decisions. this is what the researcher wants to find out artificial intelligence isn t as advanced as people think. yes karissa seventy yeah i systems
caucus. solve the problems of broward county. as of saturday 714,859 ballots cast. not to include overseas or additional military ballots that come in from the u.s. military. that is your baseline, brad. 714,000. this is third world. 18 years and we still haven t gotten it right. what happens in florida? 67 counties, the same two culprits broward and palm beach county. what doug mcelway said is the key. when elections become subjective the chads of 2000 or the provisional ballots today. when somebody can infer somebody s intent to vote the system doesn t work for republicans or democrats. that s where the u.s. supreme court came down. this goes far beyond provisional ballots. ballots from troops abroad. some has to do the miami bomber and the sorting plant.
recognize faces and assign characteristics but how do machines learn and when do they make mistakes. researching these very questions. as this heat map clearly shows that the horse in the picture has not been recognized for the models entire attention is focused on this text on this copyright tag that really surprised us. we looked at the data set again and saw that many of these horse pictures had a copyright tag on them and that the system doesn t recognize the horses at all which is precisely what you want to avoid or this. is so my kids the group machine learning at the berlin for its institute neural networks are fed with huge quantities of data however it s not always clear which parts of the data they use to make their decisions. this is what the researcher wants to find out artificial intelligence isn t as advanced as people think. this crisis over the yeah i systems
and now workers digital makers and shakers today with a guy expert wojciech. algorithms are getting smarter and smarter they can recognize faces and assign characteristics but how do machines learn and when did they make mistakes. researching these very questions. clearly shows that the horse in the picture has not been recognized. the models entire attention is focused on this text on this copyright tag that really surprised us. we looked at the data set again and saw that many of these horse pictures had a copyright tag on them and that the system doesn t recognize the horses at all which is precisely what you want to avoid this. tradition. so my kids the group machine learning at the berlin from its institute neural networks are fed with huge quantities of data however it s not always clear. which parts of the data they use
recognize faces and assign characteristics but how do machines learn and when did they make mistakes. researching these very questions. as this heat map clearly shows that the horse in the picture has not been recognized for the the model s entire attention is focused on this text on this copyright tag that really surprised us. we looked at the data set again and saw that many of these horse pictures had a copyright tag on them and that the system doesn t recognize the horses at all which is precisely what you want to avoid this. so my kids the group machine learning at the berlin from its institute neural networks are fed with huge quantities of data however it s not always clear which parts of the data they use to make their decisions. this is what the researcher wants to find out artificial intelligence isn t as advanced as people think. are the systems only learned what s