psy/sosci
maths
econ
engine?
仲有無

:^(

有無it/computing

:^(

Machine Learning/vision算唔算

:^(

我個ex而家好似都準備玩machine learning

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

:^(

psy/sosci
maths
econ
engine?
仲有無

:^(

有無it/computing

:^(

Machine Learning/vision算唔算

:^(

我個ex而家好似都準備玩machine learning

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

psy/sosci
maths
econ
engine?
仲有無

:^(

有無it/computing

:^(

Machine Learning/vision算唔算

:^(

我個ex而家好似都準備玩machine learning

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

Machine Learning/vision算唔算

:^(

我個ex而家好似都準備玩machine learning

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

psy/sosci
maths
econ
engine?
仲有無

:^(

有無it/computing

:^(

Machine Learning/vision算唔算

:^(

我個ex而家好似都準備玩machine learning

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

我個ex而家好似都準備玩machine learning

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

psy/sosci
maths
econ
engine?
仲有無

:^(

有無it/computing

:^(

Machine Learning/vision算唔算

:^(

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

:^(

maching learning

:^(

text mining揮手

:^(

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

係，學左成年，學到傻左，先識啲皮毛

:^(

btw psychi and text mining 都可以好多野玩，例如trend analysis, diagnosis accuracy, research pattern, symptom associations.....

Hmm or Rnn/lstm?

我想試下rnn/reinforcement learning做image classifer

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

係，學左成年，學到傻左，先識啲皮毛

:^(

btw psychi and text mining 都可以好多野玩，例如trend analysis, diagnosis accuracy, research pattern, symptom associations.....

我mean係咩data要through text mining?

patient講/寫既野?

我果啲好初級的

:^(

psychi field

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

係，學左成年，學到傻左，先識啲皮毛

:^(

btw psychi and text mining 都可以好多野玩，例如trend analysis, diagnosis accuracy, research pattern, symptom associations.....

我mean係咩data要through text mining?

patient講/寫既野?

呢part係有小小novelty係度

:^(

但同你估既好接近，不過唔是patient

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

我stat就麻麻 programming普普通通

Psy field好似仲係用好stat既model 可能始終你地要搵個reason behind

而家neural network根本就唔係咁需要prior knowledge, trade off就係sample size要大

Model夠簡單 勝左operator夠多
我唔知可唔可以用三個臭皮匠勝過一個豬腳亮黎形容

:^(

同埋成件事好blackbox 有d人唔鐘意咁

同埋data set唔夠多都仲有選擇既 係冇咁出名

Eg. Random forest我冇實測過 但係聽講可以prevent overfit 又唔洗話咁多data

Coding都係google架啦

Math我可能因為讀過下basic numerical analysis
而ml其實theory上都係optimization problem 個人覺得幾似下 所以學得輕鬆d

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

係，學左成年，學到傻左，先識啲皮毛

:^(

btw psychi and text mining 都可以好多野玩，例如trend analysis, diagnosis accuracy, research pattern, symptom associations.....

我mean係咩data要through text mining?

patient講/寫既野?

呢part係有小小novelty係度

:^(

但同你估既好接近，不過唔是patient

唔怪得google唔到

:^(

social network related? 而家好鬼興

:^(

不過巴打怕既話可以唔講

:^(

純粹個人好奇

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

我stat就麻麻 programming普普通通

Psy field好似仲係用好stat既model 可能始終你地要搵個reason behind

而家neural network根本就唔係咁需要prior knowledge, trade off就係sample size要大

Model夠簡單 勝左operator夠多
我唔知可唔可以用三個臭皮匠勝過一個豬腳亮黎形容

:^(

同埋成件事好blackbox 有d人唔鐘意咁

同埋data set唔夠多都仲有選擇既 係冇咁出名

Eg. Random forest我冇實測過 但係聽講可以prevent overfit 又唔洗話咁多data

Coding都係google架啦

Math我可能因為讀過下basic numerical analysis
而ml其實theory上都係optimization problem 個人覺得幾似下 所以學得輕鬆d

純好奇, 我見到你地話psychi做text mining,但係我唔係好明兩者有咩關係

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

我stat就麻麻 programming普普通通

Psy field好似仲係用好stat既model 可能始終你地要搵個reason behind

而家neural network根本就唔係咁需要prior knowledge, trade off就係sample size要大

Model夠簡單 勝左operator夠多
我唔知可唔可以用三個臭皮匠勝過一個豬腳亮黎形容

:^(

同埋成件事好blackbox 有d人唔鐘意咁

同埋data set唔夠多都仲有選擇既 係冇咁出名

Eg. Random forest我冇實測過 但係聽講可以prevent overfit 又唔洗話咁多data

Coding都係google架啦

Math我可能因為讀過下basic numerical analysis
而ml其實theory上都係optimization problem 個人覺得幾似下 所以學得輕鬆d

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

我stat就麻麻 programming普普通通

Psy field好似仲係用好stat既model 可能始終你地要搵個reason behind

而家neural network根本就唔係咁需要prior knowledge, trade off就係sample size要大

Model夠簡單 勝左operator夠多
我唔知可唔可以用三個臭皮匠勝過一個豬腳亮黎形容

:^(

同埋成件事好blackbox 有d人唔鐘意咁

同埋data set唔夠多都仲有選擇既 係冇咁出名

Eg. Random forest我冇實測過 但係聽講可以prevent overfit 又唔洗話咁多data

Coding都係google架啦

Math我可能因為讀過下basic numerical analysis
而ml其實theory上都係optimization problem 個人覺得幾似下 所以學得輕鬆d

可唔可以少啲數

:^(

會考f左

:^(

不過psy果啲真係好rely on stat models，好彩models係機計

:^(

就咁睇上面幾位巴打都係用ML做research, 唔算係做ML research?

:^(

學緊用ml analyze neuroimaging data
應該同你差唔多

:^(

岩岩有個同事出左cerebral cortex

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

我stat就麻麻 programming普普通通

Psy field好似仲係用好stat既model 可能始終你地要搵個reason behind

而家neural network根本就唔係咁需要prior knowledge, trade off就係sample size要大

Model夠簡單 勝左operator夠多
我唔知可唔可以用三個臭皮匠勝過一個豬腳亮黎形容

:^(

同埋成件事好blackbox 有d人唔鐘意咁

同埋data set唔夠多都仲有選擇既 係冇咁出名

Eg. Random forest我冇實測過 但係聽講可以prevent overfit 又唔洗話咁多data

Coding都係google架啦

Math我可能因為讀過下basic numerical analysis
而ml其實theory上都係optimization problem 個人覺得幾似下 所以學得輕鬆d

可唔可以少啲數

:^(

會考f左

:^(

不過psy果啲真係好rely on stat models，好彩models係機計

:^(

唔係stat既話 大多數都有graphical representation
要多d時間睇 不過未至於卡死曬

加油呀

:^(

我女朋友bio field成日聽唔明我講math

追dse math既話herman yeung d片好似唔錯

再唔係就khan/other utube

Stat我都幫你唔到

:^(

記得呢個post有巴打做bayes果邊應該解答到多d

我有諗個做呢類, eeg/brain-inspired model

不過0 bio/psy background 所以都係做d ML向算

:^(

等offer等到頸都長

都好多冇bio/psy background人做
多數都係engineer 或者cs 人做
其實佢地勁好多
你都係當張圖咁分析
我就學到傻

:^(

其實都係math trick多

好多時都係將某某方法擺到落另一個problem solve

咁樣相對易做好多

我都想有自己framework

:^(

遲下會pub份算係modify左人地個frame既method 不過對mphil個field幫助唔大就真

就係學背後既理論同stat先學到傻， 當然實際programming 時又有另外既問題

不過家下係興咩都放ml 落去
data 唔夠大都ml

我stat就麻麻 programming普普通通

Psy field好似仲係用好stat既model 可能始終你地要搵個reason behind

而家neural network根本就唔係咁需要prior knowledge, trade off就係sample size要大

Model夠簡單 勝左operator夠多
我唔知可唔可以用三個臭皮匠勝過一個豬腳亮黎形容

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同埋成件事好blackbox 有d人唔鐘意咁

同埋data set唔夠多都仲有選擇既 係冇咁出名

Eg. Random forest我冇實測過 但係聽講可以prevent overfit 又唔洗話咁多data

Coding都係google架啦

Math我可能因為讀過下basic numerical analysis
而ml其實theory上都係optimization problem 個人覺得幾似下 所以學得輕鬆d

可唔可以少啲數

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會考f左

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不過psy果啲真係好rely on stat models，好彩models係機計

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唔係stat既話 大多數都有graphical representation
要多d時間睇 不過未至於卡死曬

加油呀

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我女朋友bio field成日聽唔明我講math

追dse math既話herman yeung d片好似唔錯

再唔係就khan/other utube

Stat我都幫你唔到

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記得呢個post有巴打做bayes果邊應該解答到多d

就咁睇上面幾位巴打都係用ML做research, 唔算係做ML research?

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我冇咁既能力develop algorithm
所以我學都係學點樣apply 係我d data 到
同d engineer 相處過就知係兩個世界