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揾左Researh associate
諗住做一排先上phD
Associate多數係PhD既位,巴打咁勁 :^(
揾左Researh associate
諗住做一排先上phD
Associate多數係PhD既位,巴打咁勁 :^(
揾左Researh associate
諗住做一排先上phD
Associate多數係PhD既位,巴打咁勁 :^(
唔係喎! 我係poly research associate
Master 就得
揾左Researh associate
諗住做一排先上phD
Associate多數係PhD既位,巴打咁勁 :^(
唔係喎! 我係poly research associate
Master 就得
揾左Researh associate
諗住做一排先上phD
Associate多數係PhD既位,巴打咁勁 :^(
唔係喎! 我係poly research associate
Master 就得
想八下幾時人工到
有巴打係搞Machine Learning?我係報緊ML PhD (但係係報PhD in Stat) :^(
computer vision算唔算 :^(
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
有巴打係搞Machine Learning?我係報緊ML PhD (但係係報PhD in Stat) :^(
computer vision算唔算 :^(
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
用家表示:dimension reduction嘅方法仲有發展空間
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有巴打係搞Machine Learning?我係報緊ML PhD (但係係報PhD in Stat) :^(
computer vision算唔算 :^(
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
用家表示:dimension reduction嘅方法仲有發展空間
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
manifold係咩 :^(
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
manifold係咩 :^(
巴打會唔會唔識呀 :^(
我都係睇d人講先驚醒可以有關 :^(
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
manifold係咩 :^(
巴打會唔會唔識呀 :^(
我都係睇d人講先驚醒可以有關 :^(
中過伏, 聽過Applied Math的talk講manifold, 但係原來同我認識的manifold係兩樣野黎, 所以問清楚 :^(
睇你做咩computer vision :^(
黎緊mphil做果樣算係pattern recognition/classification
應該用CNN做
巴打係bayes果邊?我聽就聽得多 成套machine learning真係講唔上熟練
如果入到Oxford就肯定係做Bayesian 慢慢學 但MPhil兩年真係學唔到好多
識個phd 佢mphil都係做bayes果邊 而家就玩緊random forest/metric果d
我始終係stat佬 statistical machine learning research宜家多數Bayesian
唔似CS果邊咁algorithmically driven
咁而家果套背後都係optimization/randomness driven既
我自己stat唔係幾好 ug skip左multivariate,
但係偏偏遲下pub文係用類似random projection做dimension reduction :^(
有d方向就係manifold既classification(LDA), 唔sure仲heat唔heat
用家表示:dimension reduction嘅方法仲有發展空間
令我諗起 curse of dimensionality
其實想問問,有無巴打識寫text mining d programs?成日都淨係識用現成,唔識改 :^( :^(
自己寫python scripts 抽txt 入面既data
但都係抽我d experiment data
所以有pattern係度
其他要摸索下
完全唔識python coding :^(
我學過python, 但係一d好簡單既syntax :^(
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其實想問問,有無巴打識寫text mining d programs?成日都淨係識用現成,唔識改 :^( :^(
自己寫python scripts 抽txt 入面既data
但都係抽我d experiment data
所以有pattern係度
其他要摸索下
完全唔識python coding :^(
我學過python, 但係一d好簡單既syntax :^(
其實有無得自學唔知點入手 :^( :^(
其實想問問,有無巴打識寫text mining d programs?成日都淨係識用現成,唔識改 :^( :^(
自己寫python scripts 抽txt 入面既data
但都係抽我d experiment data
所以有pattern係度
其他要摸索下
完全唔識python coding :^(
我學過python, 但係一d好簡單既syntax :^(
其實有無得自學唔知點入手 :^( :^(
我個時係上coursera學,我諗而家應該重有!
我學過python, 但係一d好簡單既syntax